From d23d083feff7cb11c9a3e414d1127cb0804360f0 Mon Sep 17 00:00:00 2001 From: "Rebecca N. 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100644 statsmodels/tsa/vector_ar/tests/results/e1.dat create mode 100644 statsmodels/tsa/vector_ar/tests/results/e2.dat create mode 100644 statsmodels/tsa/vector_ar/tests/results/e3.dat create mode 100644 statsmodels/tsa/vector_ar/tests/results/e4.dat create mode 100644 statsmodels/tsa/vector_ar/tests/results/e5.dat create mode 100644 statsmodels/tsa/vector_ar/tests/results/e6.dat create mode 100644 statsmodels/tsa/vector_ar/tests/results/results_svar.py create mode 100644 statsmodels/tsa/vector_ar/tests/results/results_svar_st.py create mode 100644 statsmodels/tsa/vector_ar/tests/results/results_var.py create mode 100644 statsmodels/tsa/vector_ar/tests/results/results_var_data.py create mode 100644 statsmodels/tsa/vector_ar/tests/results/vars_results.npz create mode 100644 statsmodels/tsa/vector_ar/tests/svar.do create mode 100644 statsmodels/tsa/vector_ar/tests/svartest.R create mode 100644 statsmodels/tsa/vector_ar/tests/test_coint.py create mode 100644 statsmodels/tsa/vector_ar/tests/test_svar.py create mode 100644 statsmodels/tsa/vector_ar/tests/test_var.py create mode 100644 statsmodels/tsa/vector_ar/tests/test_var_jmulti.py create mode 100644 statsmodels/tsa/vector_ar/tests/test_vecm.py create mode 100644 statsmodels/tsa/vector_ar/tests/var.R create mode 100644 statsmodels/tsa/vector_ar/util.py create mode 100644 statsmodels/tsa/vector_ar/var_model.py create mode 100644 statsmodels/tsa/vector_ar/vecm.py create mode 100644 statsmodels/tsa/x13.py create mode 100644 tools/R2nparray/DESCRIPTION create mode 100644 tools/R2nparray/NAMESPACE create mode 100644 tools/R2nparray/R/R2nparray-package.R create mode 100644 tools/R2nparray/R/R2nparray.R create mode 100644 tools/R2nparray/R/ex_sur.R create mode 100644 tools/R2nparray/README.txt create mode 100644 tools/README.rst create mode 100644 tools/check_api.py create mode 100644 tools/ci/README.md create mode 100644 tools/ci/azure/azure_template_posix.yml create mode 100644 tools/ci/azure/azure_template_windows.yml create mode 100644 tools/ci/azure/install-posix.sh create mode 100644 tools/ci/docbuild-commit.sh create mode 100644 tools/ci/docbuild-push.sh create mode 100644 tools/ci/docbuild.sh create mode 100644 tools/ci/docbuild_install.sh create mode 100644 tools/ci/run_test.bat create mode 100755 tools/dataset_rst.py create mode 100644 tools/estmat2nparray.ado create mode 100644 tools/export_notebooks_to_python.py create mode 100755 tools/generate_formula_api.py create mode 100755 tools/nbgenerate.py create mode 100644 tools/releasing/enumerate-api.py create mode 100644 tools/releasing/release_note.py create mode 100644 tools/releasing/release_note.tmpl create mode 100644 tools/validate_docstrings.py diff --git a/.codacy.yml b/.codacy.yml new file mode 100644 index 0000000..9be243b --- /dev/null +++ b/.codacy.yml @@ -0,0 +1,7 @@ +--- +engines: + pylint: + enabled: true + python_version: 3 +exclude_paths: + - '**/_version.py' diff --git a/.gitattributes b/.gitattributes new file mode 100644 index 0000000..f3f53cc --- /dev/null +++ b/.gitattributes @@ -0,0 +1,3 @@ +* text=auto + +statsmodels/_version.py export-subst diff --git a/.github/ISSUE_TEMPLATE/bug_report.md b/.github/ISSUE_TEMPLATE/bug_report.md new file mode 100644 index 0000000..bdc00ad --- /dev/null +++ b/.github/ISSUE_TEMPLATE/bug_report.md @@ -0,0 +1,45 @@ +--- +name: Bug report +about: Create a report to help us improve +title: '' +labels: '' +assignees: '' + +--- + +#### Describe the bug + +[A clear and concise description of what the bug is. This should explain **why** the current behaviour is a problem and why the expected output is a better solution.] + +#### Code Sample, a copy-pastable example if possible + + +```python +# Your code here that produces the bug +# This example should be self-contained, and so not rely on external data. +# It should run in a fresh ipython session, and so include all relevant imports. +``` +
+ +**Note**: As you can see, there are many issues on our GitHub tracker, so it is very possible that your issue has been posted before. Please check first before submitting so that we do not have to handle and close duplicates. + +**Note**: Please be sure you are using the latest released version of `statsmodels`, or a recent build of `main`. If your problem has been fixed in an unreleased version, you might be able to use `main` until a new release occurs. + +**Note**: If you are using a released version, have you verified that the bug exists in the main branch of this repository? It helps the limited resources if we know problems exist in the current main branch so that they do not need to check whether the code sample produces a bug in the next release. + +
+ + +If the issue has not been resolved, please file it in the issue tracker. + +#### Expected Output + +A clear and concise description of what you expected to happen. + +#### Output of ``import statsmodels.api as sm; sm.show_versions()`` + +
+ +[paste the output of ``import statsmodels.api as sm; sm.show_versions()`` here below this line] + +
diff --git a/.github/ISSUE_TEMPLATE/feature_request.md b/.github/ISSUE_TEMPLATE/feature_request.md new file mode 100644 index 0000000..3ccd35d --- /dev/null +++ b/.github/ISSUE_TEMPLATE/feature_request.md @@ -0,0 +1,20 @@ +--- +name: Feature request +about: Suggest an idea for this project +title: '' +labels: '' +assignees: '' + +--- + +#### Is your feature request related to a problem? Please describe +A clear and concise description of what the problem is. Ex. I'm always frustrated when [...] + +#### Describe the solution you'd like +A clear and concise description of what you want to happen. + +#### Describe alternatives you have considered +A clear and concise description of any alternative solutions or features you have considered. + +#### Additional context +Add any other context about the feature request here. \ No newline at end of file diff --git a/.github/PULL_REQUEST_TEMPLATE.md b/.github/PULL_REQUEST_TEMPLATE.md new file mode 100644 index 0000000..80b280c --- /dev/null +++ b/.github/PULL_REQUEST_TEMPLATE.md @@ -0,0 +1,28 @@ +- [ ] closes #xxxx +- [ ] tests added / passed. +- [ ] code/documentation is well formatted. +- [ ] properly formatted commit message. See + [NumPy's guide](https://docs.scipy.org/doc/numpy-1.15.1/dev/gitwash/development_workflow.html#writing-the-commit-message). + +
+ + +**Notes**: + +* It is essential that you add a test when making code changes. Tests are not + needed for doc changes. +* When adding a new function, test values should usually be verified in another package (e.g., R/SAS/Stata). +* When fixing a bug, you must add a test that would produce the bug in main and + then show that it is fixed with the new code. +* New code additions must be well formatted. Changes should pass flake8. If on Linux or OSX, you can + verify you changes are well formatted by running + ``` + git diff upstream/main -u -- "*.py" | flake8 --diff --isolated + ``` + assuming `flake8` is installed. This command is also available on Windows + using the Windows System for Linux once `flake8` is installed in the + local Linux environment. While passing this test is not required, it is good practice and it help + improve code quality in `statsmodels`. +* Docstring additions must render correctly, including escapes and LaTeX. + +
diff --git a/.github/dependabot.yml b/.github/dependabot.yml new file mode 100644 index 0000000..ac27a84 --- /dev/null +++ b/.github/dependabot.yml @@ -0,0 +1,8 @@ +version: 2 +updates: + # Maintain dependencies for GitHub Actions + - package-ecosystem: "github-actions" + directory: "/" + schedule: + # Check for updates to GitHub Actions every week + interval: "weekly" diff --git a/.github/workflows/backport.yml b/.github/workflows/backport.yml new file mode 100644 index 0000000..e87fc46 --- /dev/null +++ b/.github/workflows/backport.yml @@ -0,0 +1,27 @@ +name: Backport +on: + pull_request: + types: + - closed + - labeled + +jobs: + backport: + runs-on: ubuntu-latest + # Only react to merged PRs for security reasons. + # See https://docs.github.com/en/actions/using-workflows/events-that-trigger-workflows#pull_request_target. + if: > + github.event.pull_request.merged + && ( + github.event.action == 'closed' + || ( + github.event.action == 'labeled' + && contains(github.event.label.name, 'backport') + ) + ) + name: Backport + steps: + - name: Backport + uses: tibdex/backport@v2 + with: + github_token: ${{ secrets.GITHUB_TOKEN }} diff --git a/.github/workflows/codeql.yml b/.github/workflows/codeql.yml new file mode 100644 index 0000000..be97b3c --- /dev/null +++ b/.github/workflows/codeql.yml @@ -0,0 +1,63 @@ +name: "CodeQL" + +on: + push: + branches: [ 'main' ] + pull_request: + # The branches below must be a subset of the branches above + branches: [ 'main' ] + schedule: + - cron: '25 2 * * 0' + +jobs: + analyze: + name: Analyze + runs-on: ubuntu-latest + permissions: + actions: read + contents: read + security-events: write + + strategy: + fail-fast: false + matrix: + language: [ 'python', 'javascript' ] + # CodeQL supports [ 'cpp', 'csharp', 'go', 'java', 'javascript', 'python', 'ruby' ] + # Learn more about CodeQL language support at https://aka.ms/codeql-docs/language-support + + steps: + - name: Checkout repository + uses: actions/checkout@v4 + + # Initializes the CodeQL tools for scanning. + - name: Initialize CodeQL + uses: github/codeql-action/init@v3 + with: + languages: ${{ matrix.language }} + # If you wish to specify custom queries, you can do so here or in a config file. + # By default, queries listed here will override any specified in a config file. + # Prefix the list here with "+" to use these queries and those in the config file. + + # Details on CodeQL's query packs refer to : https://docs.github.com/en/code-security/code-scanning/automatically-scanning-your-code-for-vulnerabilities-and-errors/configuring-code-scanning#using-queries-in-ql-packs + queries: +security-and-quality + + + # Autobuild attempts to build any compiled languages (C/C++, C#, Go, or Java). + # If this step fails, then you should remove it and run the build manually (see below) + - name: Autobuild + uses: github/codeql-action/autobuild@v3 + + # ℹ️ Command-line programs to run using the OS shell. + # 📚 See https://docs.github.com/en/actions/using-workflows/workflow-syntax-for-github-actions#jobsjob_idstepsrun + + # If the Autobuild fails above, remove it and uncomment the following three lines. + # modify them (or add more) to build your code if your project, please refer to the EXAMPLE below for guidance. + + # - run: | + # echo "Run, Build Application using script" + # ./location_of_script_within_repo/buildscript.sh + + - name: Perform CodeQL Analysis + uses: github/codeql-action/analyze@v3 + with: + category: "/language:${{matrix.language}}" diff --git a/.github/workflows/generate-documentation.yml b/.github/workflows/generate-documentation.yml new file mode 100644 index 0000000..2a99b38 --- /dev/null +++ b/.github/workflows/generate-documentation.yml @@ -0,0 +1,83 @@ +name: Generate Documentation + +on: + release: + types: [published] + push: + branches: + - main + pull_request: + +permissions: {} + +jobs: + build: + permissions: + contents: write # for git push + + runs-on: ubuntu-latest + defaults: + run: + shell: bash + strategy: + fail-fast: false + matrix: + python-version: ["3.10"] + steps: + - name: Checkout + uses: actions/checkout@v4 + with: + fetch-depth: 0 + - name: Checkout statsmodels.github.io without token + uses: actions/checkout@v4 + with: + fetch-depth: 1 + repository: statsmodels/statsmodels.github.io + path: statsmodels.github.io + if: ${{ github.event_name == 'pull_request' }} + - name: Checkout statsmodels.github.io with token + uses: actions/checkout@v4 + with: + fetch-depth: 1 + repository: statsmodels/statsmodels.github.io + path: statsmodels.github.io + token: ${{ secrets.DOCBUILD_TOKEN }} + if: ${{ github.event_name == 'release' || github.event_name == 'push' }} + - name: Event type + run: echo $EVENT_TYPE + env: + EVENT_TYPE: ${{ github.event_name }} + - name: Install pandoc + uses: r-lib/actions/setup-pandoc@v2 + - name: Install graphviz + uses: ts-graphviz/setup-graphviz@v2 + - name: Set up Python ${{ matrix.python-version }} + uses: actions/setup-python@v5 + with: + python-version: ${{ matrix.python-version }} + cache: "pip" + - name: Install dependencies + run: | + python -m pip install --upgrade pip wheel setuptools + python -m pip install -r requirements.txt + python -m pip install -r requirements-dev.txt + python -m pip install -r requirements-doc.txt + python -m pip list + - name: Install statsmodels + run: python -m pip install . -vv + - name: Build documentation + run: | + pushd docs + make html + popd + - name: Move and commit documentation + env: + GIT_TAG: ${{ github.event.release.tag_name }} + run: | + source tools/ci/docbuild-commit.sh + - name: Push changes + env: + PERSONAL_ACCESS_TOKEN: ${{ secrets.DOCBUILD_TOKEN }} + run: | + source tools/ci/docbuild-push.sh + if: ${{ github.event_name == 'release' || github.event_name == 'push' }} diff --git a/.gitignore b/.gitignore new file mode 100644 index 0000000..0c32bf5 --- /dev/null +++ b/.gitignore @@ -0,0 +1,112 @@ +*.py[oc] +# setup.py working directory +build +# setup.py dist directory +dist +#docs build and others +#generated #not yet? generated for dataset not rebuild +docs/source/generated +docs/source/dev/generated +docs/source/examples/generated +docs/source/datasets/generated +docs/source/examples/index.rst +docs/source/examples/notebooks/generated +docs/source/datasets/statsmodels.datasets.* +docs/source/savefig +docs/gettingstarted_0.png +examples/executed + +#setuptools-scm generated version file +statsmodels/_version.py +# Generated c source and built extensions +# and Byte-compiled / optimized / DLL files +*.c +*.so +*.py[cod] +__pycache__/ + + +# repository directories for bzr-git +.bzr +.git +marks.git +marks.bzr + +# virtualenv stuff +.venv + +# Editor temporary/working/backup files +*$ +.*.sw[nop] +.sw[nop] +*~ +[#]*# +.#* +*.bak +*.tmp +/.idea +*.tgz +*.rej +*.org +.project +*.diff +.settings/ +*.svn/ +*.log.py +# Egg metadata +*.egg-info +# The shelf plugin uses this dir +.shelf +# Mac droppings +.DS_Store +help + +# Coverage report output +.coverage +coverage_html_report/ + +# Idea IDE +.idea/ + +# VS Code +.vscode/ + +# Project specific +statsmodels/version.py +statsmodels.egg-info/ +iterate.dat +hash_dict.pickle +rehab.table +salary.table +.ipynb_checkpoints +statsmodels/tsa/statespace/_statespace.pyx +statsmodels/tsa/innovations/_arma_innovations.pyx +statsmodels/tsa/regime_switching/_hamilton_filter.pyx +statsmodels/tsa/regime_switching/_kim_smoother.pyx +statsmodels/tsa/statespace/_initialization.pyx +statsmodels/tsa/statespace/_representation.pyx +statsmodels/tsa/statespace/_kalman_filter.pyx +statsmodels/tsa/statespace/_kalman_smoother.pyx +statsmodels/tsa/statespace/_simulation_smoother.pyx +statsmodels/tsa/statespace/_cfa_simulation_smoother.pyx +statsmodels/tsa/statespace/_tools.pyx +statsmodels/tsa/statespace/_filters/_conventional.pyx +statsmodels/tsa/statespace/_filters/_inversions.pyx +statsmodels/tsa/statespace/_filters/_univariate.pyx +statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx +statsmodels/tsa/statespace/_smoothers/_conventional.pyx +statsmodels/tsa/statespace/_smoothers/_univariate.pyx +statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx +statsmodels/tsa/statespace/_smoothers/_alternative.pyx +statsmodels/tsa/statespace/_smoothers/_classical.pyx + +#pytest +.cache +.pytest_cache + +# Temporary copies for packaging +statsmodels/setup.cfg +statsmodels/LICENSE.txt + +# Dataset downloads +statsmodels/datasets/tests/*.zip \ No newline at end of file diff --git a/.mailmap b/.mailmap new file mode 100644 index 0000000..a772d25 --- /dev/null +++ b/.mailmap @@ -0,0 +1,97 @@ +Alexander W Blocker Alexander W Blocker +Alex Griffing alex +Alexis Roche Alexis Roche +Ana Martinez Pardo Ana Martinez Pardo +Ana Martinez Pardo Ana Martinez Pardo +anov anov +avishaylivne avishaylivne +Bart Baker Bart Baker +Bart Baker bartbkr +Bart Baker bartbkr@gmail.com +Ben Duffield benduffield +Benjamin Thyreau benjamin.thyreau <> +brian.hawthorne <> brian.hawthorne <> +Bruno Rodrigues Bruno Rodrigues +Carl Vogel Carl Vogel +Chad Fulton Chad Fulton +Chris Jordan-Squire Chris Jordan-Squire +Christian Prinoth Christian Prinoth +Christopher Burns cburns <> +Christopher Burns Chris +Christopher Burns Christopher Burns +Cindee Madison Cindee Madison +Daniel B. Smith Daniel B. Smith +davclark <> davclark <> +dengemann dengemann +Dieter Vandenbussche Dieter Vandenbussche +Dougal Sutherland Dougal Sutherland +Enrico Giampieri Enrico Giampieri +Eric Chiang ericchiang +evelynmitchell evelynmitchell +Evgeni Burovski Zhenya +Fernando Perez fdo.perez <> +Fernando Perez Fernando Perez +Gael Varoquaux Gael Varoquaux +George Panterov George Panterov +Grayson Grayson +Jan Schulz Jan Schulz +Jarrod Millman jarrod.millman <> +Jarrod Millman Jarrod Millman +Jeff Reback jreback +Jonathan Taylor jonathan.taylor <> +Jonathan Taylor Jonathan Taylor +Jonathan Taylor Jonathan Taylor +Jonathan Taylor Jonathan Taylor +Jonathan Taylor Jonathan Taylor +Jonathan Taylor jtaylo +Josef Perktold Josef Perktold +Justin Grana Justin Grana +langmore langmore +Matthew Brett matthew.brett <> +Matthew Brett Matthew Brett <> +Matthew Brett Matthew Brett +Matthew Brett Matthew Brett +Matthieu Brucher Matthieu Brucher +michael.castelle <> michael.castelle <> +Mike Crowe Mike Crowe +Mike Crowe Mike Crowe +Mike Crowe Mike +Nathaniel J. Smith Nathaniel J. Smith +otterb otterb +Padarn Wilson padarn +Padarn Wilson Padarn +Paris Sprint Account Paris Sprint Account +Paul Hobson Paul Hobson +Peter Prettenhofer Peter Prettenhofer +Pietro Battiston Pietro Battiston +Ralf Gommers Ralf Gommers +Richard T. Guy Richard T. Guy +Robert Cimrman Robert Cimrman +Roger Lew Roger Lew +scottpiraino scottpiraino +sebastien.meriaux <> sebastien.meriaux <> +Skipper Seabold jsseabold <> +Skipper Seabold jsseabold +Skipper Seabold Skipper Seabold +skipper seabold skipper seabold +Skipper Seabold skipper +Skipper Seabold skipper +Steve Genoud Steve Genoud +Thomas Haslwanter Thomas Haslwanter +Thomas Kluyver Thomas Kluyver +tim.leslie <> tim.leslie <> +timmie timmie +Tom Augspurger TomAugspurger +Tom Augspurger Tom Augspurger +Tom Waite Tom Waite +Tom Waite twaite +Trent Hauck Trent Hauck +Trent Hauck tshauck +tylerhartley tylerhartley +Vincent Arel-Bundock Vincent Arel-Bundock +Vincent Davis Vincent Davis +VirgileFritsch VirgileFritsch +Wes McKinney Wes McKinney +Wes McKinney Wes McKinney +Yaroslav Halchenko Yaroslav Halchenko +zed zed diff --git a/.pep8speaks.yml b/.pep8speaks.yml new file mode 100644 index 0000000..487749b --- /dev/null +++ b/.pep8speaks.yml @@ -0,0 +1,9 @@ +scanner: + diff_only: True + linter: flake8 + +flake8: + max-line-length: 79 + ignore: # Errors and warnings to ignore + - W503 + - W504 diff --git a/CHANGES.md b/CHANGES.md new file mode 100644 index 0000000..7b10393 --- /dev/null +++ b/CHANGES.md @@ -0,0 +1,4 @@ +Release Notes +============= + +The list of changes for each statsmodels release can be found [here](https://www.statsmodels.org/devel/release/index.html). Full details are available in the [commit logs](https://github.com/statsmodels/statsmodels). diff --git a/CONTRIBUTING.rst b/CONTRIBUTING.rst new file mode 100644 index 0000000..b462bfe --- /dev/null +++ b/CONTRIBUTING.rst @@ -0,0 +1,73 @@ +Contributing guidelines +======================= + +This page explains how you can contribute to the development of `statsmodels` +by submitting patches, statistical tests, new models, or examples. + +`statsmodels` is developed on `Github `_ +using the `Git `_ version control system. + +Submitting a Bug Report +~~~~~~~~~~~~~~~~~~~~~~~ + +- Include a short, self-contained code snippet that reproduces the problem +- Specify the statsmodels version used. You can do this with ``sm.version.full_version`` +- If the issue looks to involve other dependencies, also include the output of ``sm.show_versions()`` + +Making Changes to the Code +~~~~~~~~~~~~~~~~~~~~~~~~~~ + +For a pull request to be accepted, you must meet the below requirements. This greatly helps in keeping the job of maintaining and releasing the software a shared effort. + +- **One branch. One feature.** Branches are cheap and github makes it easy to merge and delete branches with a few clicks. Avoid the temptation to lump in a bunch of unrelated changes when working on a feature, if possible. This helps us keep track of what has changed when preparing a release. +- Commit messages should be clear and concise. This means a subject line of less than 80 characters, and, if necessary, a blank line followed by a commit message body. We have an `informal commit format standard `_ that we try to adhere to. You can see what this looks like in practice by ``git log --oneline -n 10``. If your commit references or closes a specific issue, you can close it by mentioning it in the `commit message `_. (*For maintainers*: These suggestions go for Merge commit comments too. These are partially the record for release notes.) +- Code submissions must always include tests. See our `notes on testing `_. +- Each function, class, method, and attribute needs to be documented using docstrings. We conform to the `numpy docstring standard `_. +- If you are adding new functionality, you need to add it to the documentation by editing (or creating) the appropriate file in ``docs/source``. +- Make sure your documentation changes parse correctly. Change into the top-level ``docs/`` directory and type:: + + make clean + make html + + Check that the build output does not have *any* warnings due to your changes. +- Finally, please add your changes to the release notes. Open the ``docs/source/release/versionX.X.rst`` file that has the version number of the next release and add your changes to the appropriate section. + +Linting +~~~~~~~ + +Due to the way we have the CI builds set up, the linter will not do anything unless the environmental variable $LINT is set to a truthy value. + +- On MacOS/Linux + + LINT=true ./lint.sh + +- Dependencies: flake8, git + +How to Submit a Pull Request +~~~~~~~~~~~~~~~~~~~~~~~~~~~~ + +So you want to submit a patch to `statsmodels` but are not too familiar with github? Here are the steps you need to take. + +1. `Fork `_ the `statsmodels repository `_ on Github. +2. `Create a new feature branch `_. Each branch must be self-contained, with a single new feature or bugfix. +3. Make sure the test suite passes. This includes testing on Python 3. The easiest way to do this is to make a pull request and let the bot check for you. This can be slow, and if you are unsure about the fix or enhancement, it is best to run pytest locally. +4. Document your changes by editing the appropriate file in ``docs/source/``. If it is a big, new feature add a note and an example to the latest ``docs/source/release/versionX.X.rst`` file. See older versions for examples. If it's a minor change, it will be included automatically in our release notes. +5. Add an example. If it is a big, new feature please submit an example notebook by following `these instructions `_. +6. `Submit a pull request `_ + +Mailing List +~~~~~~~~~~~~ + +Conversations about development take place on the `statsmodels mailing list `__. + +Learn More +~~~~~~~~~~ + +The ``statsmodels`` documentation's `developer page `_ +offers much more detailed information about the process. + +License +~~~~~~~ + +statsmodels is released under the +`Modified (3-clause) BSD license `_. diff --git a/COPYRIGHTS.txt b/COPYRIGHTS.txt new file mode 100644 index 0000000..3a505ea --- /dev/null +++ b/COPYRIGHTS.txt @@ -0,0 +1,249 @@ + +The license of statsmodels can be found in LICENSE.txt + +statsmodels contains code or derivative code from several other +packages. Some modules also note the author of individual contributions, or +author of code that formed the basis for the derived or translated code. +The copyright statements for the datasets are attached to the individual +datasets, most datasets are in public domain, and we do not claim any copyright +on any of them. + +In the following, we collect copyright statements of code from other packages, +all of which are either a version of BSD or MIT licensed: + +numpy +scipy +pandas +matplotlib +scikit-learn +qsturng-py http://code.google.com/p/qsturng-py/ + + +numpy (statsmodels.compatnp contains copy of entire model) +---------------------------------------------------------- +Copyright (c) 2005-2009, NumPy Developers. +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are +met: + + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + + * Neither the name of the NumPy Developers nor the names of any + contributors may be used to endorse or promote products derived + from this software without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR +A PARTICULAR PURPOSE ARE DISCLAIMED. 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This License Agreement does not grant permission to use JDH +trademarks or trade name in a trademark sense to endorse or promote +products or services of Licensee, or any third party. + +8. By copying, installing or otherwise using matplotlib %(version)s, +Licensee agrees to be bound by the terms and conditions of this License +Agreement. +-------------------------------------------------------------------------- + +scikits-learn +------------- + +New BSD License + +Copyright (c) 2007 - 2010 Scikit-Learn Developers. +All rights reserved. + + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + + a. Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + b. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + c. Neither the name of the Scikit-learn Developers nor the names of + its contributors may be used to endorse or promote products + derived from this software without specific prior written + permission. + + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. IN NO EVENT SHALL THE REGENTS OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT +LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY +OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH +DAMAGE. +--------------------------------------------------------------------------- + +qsturng-py (code included in statsmodels.stats.libqsturng) +-------------------------------------------------------------- +Copyright (c) 2011, Roger Lew [see LICENSE.txt] +All rights reserved. + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions +are met: + * Redistributions of source code must retain the above copyright + notice, this list of conditions and the following disclaimer. + * Redistributions in binary form must reproduce the above + copyright notice, this list of conditions and the following + disclaimer in the documentation and/or other materials provided + with the distribution. + * Neither the name of the organizations affiliated with the + contributors or the names of its contributors themselves may be + used to endorse or promote products derived from this software + without specific prior written permission. + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS +"AS IS" AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT +LIMITED TO, THE IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS +FOR A PARTICULAR PURPOSE ARE DISCLAIMED. IN NO EVENT SHALL THE +COPYRIGHT HOLDER OR CONTRIBUTORS BE LIABLE FOR ANY DIRECT, INDIRECT, +INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL DAMAGES (INCLUDING, +BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR SERVICES; +LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT +LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN +ANY WAY OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE +POSSIBILITY OF SUCH DAMAGE. +---------------------------------------------------------- diff --git a/INSTALL.txt b/INSTALL.txt new file mode 100644 index 0000000..fb77f2f --- /dev/null +++ b/INSTALL.txt @@ -0,0 +1,122 @@ +Dependencies +------------ + +python >= 3.8 + + www.python.org + +numpy >= 1.18 + + www.numpy.org + +scipy >= 1.4 + + www.scipy.org + +pandas >= 1.0 + + pandas.pydata.org + +patsy >= 0.5.2 + + patsy.readthedocs.org + +cython >= 0.29.33 and < 4.0.0 + + https://cython.org/ + + Cython is required if you are building the source from github. However, + if you have are building from source distribution archive then the + generated C files are included and Cython is not necessary. Earlier + versions may be ok for earlier versions of Python. + +Optional Dependencies +--------------------- + +X-12-ARIMA or X-13ARIMA-SEATS + + https://www.census.gov/srd/www/x13as/ + + If available, time-series analysis can be conducted using either + X-12-ARIMA or the newer X-13ARIMA-SEATS. You should place the + appropriate executable on your PATH or set the X12PATH or X13PATH + environmental variable to take advantage. + +matplotlib >= 3 + + https://matplotlib.org/ + + Matplotlib is needed for plotting functionality and running many of the + examples. + +sphinx >= 1.3 + + http://sphinx.pocoo.org/ + + Sphinx is used to build the documentation. + +pytest >= 6 + + http://readthedocs.org/docs/pytest/en/latest/ + + Pytest is needed to run the tests. + +IPython >= 6 + + Needed to build the docs. + + +Installing +---------- + +To get the latest release using pip + + python -m pip install statsmodels --upgrade-strategy only-if-needed + +The additional parameter pip --upgrade-strategy only-if-needed will ensure +that dependencies, e.g. NumPy or pandas, are not upgraded unless required. + +Ubuntu/Debian +------------- + +On Ubuntu you can get dependencies through: + + sudo apt-get install python python-dev python-setuptools python-numpy python-scipy + python -m pip install cython pandas + +Alternatively, you can install from the NeuroDebian repository: + + http://neuro.debian.net + + +Installing from Source +---------------------- + +Download and extract the source distribution from PyPI or github + + https://pypi.python.org/pypi/statsmodels + https://github.com/statsmodels/statsmodels/tags + +Or clone the bleeding edge code from our repository on github at + + git clone git://github.com/statsmodels/statsmodels.git + +In the statsmodels directory do (with proper permissions) + + python -m pip install . + +You will need a C compiler installed. + +Installing from Source on Windows +--------------------------------- + +See https://www.statsmodels.org/devel/install.html#windows. + + +Documentation +------------- + +You may find more information about the project and installation in our +documentation + +https://www.statsmodels.org/devel/install.html diff --git a/LICENSE.txt b/LICENSE.txt new file mode 100644 index 0000000..47cd54e --- /dev/null +++ b/LICENSE.txt @@ -0,0 +1,34 @@ +Copyright (C) 2006, Jonathan E. Taylor +All rights reserved. + +Copyright (c) 2006-2008 Scipy Developers. +All rights reserved. + +Copyright (c) 2009-2018 statsmodels Developers. +All rights reserved. + + +Redistribution and use in source and binary forms, with or without +modification, are permitted provided that the following conditions are met: + + a. Redistributions of source code must retain the above copyright notice, + this list of conditions and the following disclaimer. + b. Redistributions in binary form must reproduce the above copyright + notice, this list of conditions and the following disclaimer in the + documentation and/or other materials provided with the distribution. + c. Neither the name of statsmodels nor the names of its contributors + may be used to endorse or promote products derived from this software + without specific prior written permission. + + +THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS "AS IS" +AND ANY EXPRESS OR IMPLIED WARRANTIES, INCLUDING, BUT NOT LIMITED TO, THE +IMPLIED WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE +ARE DISCLAIMED. IN NO EVENT SHALL STATSMODELS OR CONTRIBUTORS BE LIABLE FOR +ANY DIRECT, INDIRECT, INCIDENTAL, SPECIAL, EXEMPLARY, OR CONSEQUENTIAL +DAMAGES (INCLUDING, BUT NOT LIMITED TO, PROCUREMENT OF SUBSTITUTE GOODS OR +SERVICES; LOSS OF USE, DATA, OR PROFITS; OR BUSINESS INTERRUPTION) HOWEVER +CAUSED AND ON ANY THEORY OF LIABILITY, WHETHER IN CONTRACT, STRICT +LIABILITY, OR TORT (INCLUDING NEGLIGENCE OR OTHERWISE) ARISING IN ANY WAY +OUT OF THE USE OF THIS SOFTWARE, EVEN IF ADVISED OF THE POSSIBILITY OF SUCH +DAMAGE. diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 0000000..c4b4d24 --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,29 @@ +global-include *.csv *.py *.txt *.pyx *.pyx.in *.pxd *.pxi *.c *.h *.pkl +include statsmodels/_version.py +include MANIFEST.in +include README.rst + +recursive-exclude build * +recursive-exclude dist * +recursive-exclude tools * + +graft statsmodels/datasets +graft statsmodels/sandbox/regression/data +graft statsmodels/sandbox/tests +graft statsmodels/sandbox/tsa/examples +recursive-include docs/source * +exclude docs/source/generated/* +recursive-include docs/sphinxext * +recursive-include docs/themes * +recursive-exclude docs/build * +recursive-exclude docs/build/htmlhelp * +include statsmodels/statsmodelsdoc.chm +include docs/make.bat +include docs/Makefile + +recursive-include examples * + +prune */__pycache__ + +global-exclude *~ *.swp *.pyc *.pyo *.bak +include statsmodels/_version.py diff --git a/README.rst b/README.rst new file mode 100644 index 0000000..d7baaa4 --- /dev/null +++ b/README.rst @@ -0,0 +1,207 @@ +.. image:: docs/source/images/statsmodels-logo-v2-horizontal.svg + :alt: Statsmodels logo + +|PyPI Version| |Conda Version| |License| |Azure CI Build Status| +|Codecov Coverage| |Coveralls Coverage| |PyPI downloads| |Conda downloads| + +About statsmodels +================= + +statsmodels is a Python package that provides a complement to scipy for +statistical computations including descriptive statistics and estimation +and inference for statistical models. + + +Documentation +============= + +The documentation for the latest release is at + +https://www.statsmodels.org/stable/ + +The documentation for the development version is at + +https://www.statsmodels.org/dev/ + +Recent improvements are highlighted in the release notes + +https://www.statsmodels.org/stable/release/ + +Backups of documentation are available at https://statsmodels.github.io/stable/ +and https://statsmodels.github.io/dev/. + + +Main Features +============= + +* Linear regression models: + + - Ordinary least squares + - Generalized least squares + - Weighted least squares + - Least squares with autoregressive errors + - Quantile regression + - Recursive least squares + +* Mixed Linear Model with mixed effects and variance components +* GLM: Generalized linear models with support for all of the one-parameter + exponential family distributions +* Bayesian Mixed GLM for Binomial and Poisson +* GEE: Generalized Estimating Equations for one-way clustered or longitudinal data +* Discrete models: + + - Logit and Probit + - Multinomial logit (MNLogit) + - Poisson and Generalized Poisson regression + - Negative Binomial regression + - Zero-Inflated Count models + +* RLM: Robust linear models with support for several M-estimators. +* Time Series Analysis: models for time series analysis + + - Complete StateSpace modeling framework + + - Seasonal ARIMA and ARIMAX models + - VARMA and VARMAX models + - Dynamic Factor models + - Unobserved Component models + + - Markov switching models (MSAR), also known as Hidden Markov Models (HMM) + - Univariate time series analysis: AR, ARIMA + - Vector autoregressive models, VAR and structural VAR + - Vector error correction model, VECM + - exponential smoothing, Holt-Winters + - Hypothesis tests for time series: unit root, cointegration and others + - Descriptive statistics and process models for time series analysis + +* Survival analysis: + + - Proportional hazards regression (Cox models) + - Survivor function estimation (Kaplan-Meier) + - Cumulative incidence function estimation + +* Multivariate: + + - Principal Component Analysis with missing data + - Factor Analysis with rotation + - MANOVA + - Canonical Correlation + +* Nonparametric statistics: Univariate and multivariate kernel density estimators +* Datasets: Datasets used for examples and in testing +* Statistics: a wide range of statistical tests + + - diagnostics and specification tests + - goodness-of-fit and normality tests + - functions for multiple testing + - various additional statistical tests + +* Imputation with MICE, regression on order statistic and Gaussian imputation +* Mediation analysis +* Graphics includes plot functions for visual analysis of data and model results + +* I/O + + - Tools for reading Stata .dta files, but pandas has a more recent version + - Table output to ascii, latex, and html + +* Miscellaneous models +* Sandbox: statsmodels contains a sandbox folder with code in various stages of + development and testing which is not considered "production ready". This covers + among others + + - Generalized method of moments (GMM) estimators + - Kernel regression + - Various extensions to scipy.stats.distributions + - Panel data models + - Information theoretic measures + +How to get it +============= +The main branch on GitHub is the most up to date code + +https://www.github.com/statsmodels/statsmodels + +Source download of release tags are available on GitHub + +https://github.com/statsmodels/statsmodels/tags + +Binaries and source distributions are available from PyPi + +https://pypi.org/project/statsmodels/ + +Binaries can be installed in Anaconda + +conda install statsmodels + + +Getting the latest code +======================= + +Installing the most recent nightly wheel +~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ +The most recent nightly wheel can be installed using pip. + +.. code:: bash + + python -m pip install -i https://pypi.anaconda.org/scientific-python-nightly-wheels/simple statsmodels --upgrade --use-deprecated=legacy-resolver + +Installing from sources +~~~~~~~~~~~~~~~~~~~~~~~ + +See INSTALL.txt for requirements or see the documentation + +https://statsmodels.github.io/dev/install.html + +Contributing +============ +Contributions in any form are welcome, including: + +* Documentation improvements +* Additional tests +* New features to existing models +* New models + +https://www.statsmodels.org/stable/dev/test_notes + +for instructions on installing statsmodels in *editable* mode. + +License +======= + +Modified BSD (3-clause) + +Discussion and Development +========================== + +Discussions take place on the mailing list + +https://groups.google.com/group/pystatsmodels + +and in the issue tracker. We are very interested in feedback +about usability and suggestions for improvements. + +Bug Reports +=========== + +Bug reports can be submitted to the issue tracker at + +https://github.com/statsmodels/statsmodels/issues + +.. |Azure CI Build Status| image:: https://dev.azure.com/statsmodels/statsmodels-testing/_apis/build/status/statsmodels.statsmodels?branchName=main + :target: https://dev.azure.com/statsmodels/statsmodels-testing/_build/latest?definitionId=1&branchName=main +.. |Codecov Coverage| image:: https://codecov.io/gh/statsmodels/statsmodels/branch/main/graph/badge.svg + :target: https://codecov.io/gh/statsmodels/statsmodels +.. |Coveralls Coverage| image:: https://coveralls.io/repos/github/statsmodels/statsmodels/badge.svg?branch=main + :target: https://coveralls.io/github/statsmodels/statsmodels?branch=main +.. |PyPI downloads| image:: https://img.shields.io/pypi/dm/statsmodels?label=PyPI%20Downloads + :alt: PyPI - Downloads + :target: https://pypi.org/project/statsmodels/ +.. |Conda downloads| image:: https://img.shields.io/conda/dn/conda-forge/statsmodels.svg?label=Conda%20downloads + :target: https://anaconda.org/conda-forge/statsmodels/ +.. |PyPI Version| image:: https://img.shields.io/pypi/v/statsmodels.svg + :target: https://pypi.org/project/statsmodels/ +.. |Conda Version| image:: https://anaconda.org/conda-forge/statsmodels/badges/version.svg + :target: https://anaconda.org/conda-forge/statsmodels/ +.. |License| image:: https://img.shields.io/pypi/l/statsmodels.svg + :target: https://github.com/statsmodels/statsmodels/blob/main/LICENSE.txt diff --git a/README_l1.txt b/README_l1.txt new file mode 100644 index 0000000..4f28f0d --- /dev/null +++ b/README_l1.txt @@ -0,0 +1,40 @@ +What the l1 addition is +======================= +A slight modification that allows l1 regularized LikelihoodModel. + +Regularization is handled by a fit_regularized method. + +Main Files +========== + +l1_demo/demo.py + $ python demo.py --get_l1_slsqp_results logit + does a quick demo of the regularization using logistic regression. + +l1_demo/sklearn_compare.py + $ python sklearn_compare.py + Plots a comparison of regularization paths. Modify the source to use + different datasets. + +statsmodels/base/l1_cvxopt.py + fit_l1_cvxopt_cp() + Fit likelihood model using l1 regularization. Use the CVXOPT package. + Lots of small functions supporting fit_l1_cvxopt_cp + +statsmodels/base/l1_slsqp.py + fit_l1_slsqp() + Fit likelihood model using l1 regularization. Use scipy.optimize + Lots of small functions supporting fit_l1_slsqp + +statsmodels/base/l1_solvers_common.py + Common methods used by l1 solvers + +statsmodels/base/model.py + Likelihoodmodel.fit() + 3 lines modified to allow for importing and calling of l1 fitting functions + +statsmodels/discrete/discrete_model.py + L1MultinomialResults class + Child of MultinomialResults + MultinomialModel.fit() + 3 lines re-directing l1 fit results to the L1MultinomialResults class diff --git a/archive/README.md b/archive/README.md new file mode 100644 index 0000000..3c66e13 --- /dev/null +++ b/archive/README.md @@ -0,0 +1,3 @@ +This directory holds files that were once part of statsmodels but +are no longer maintained. They are retained here in order to have their +git histories readily available, but should *not* be considered usable. diff --git a/archive/docs/GLMNotes.lyx b/archive/docs/GLMNotes.lyx new file mode 100644 index 0000000..3307099 --- /dev/null +++ b/archive/docs/GLMNotes.lyx @@ -0,0 +1,1155 @@ +#LyX 1.6.2 created this file. For more info see http://www.lyx.org/ +\lyxformat 345 +\begin_document +\begin_header +\textclass article +\use_default_options true +\language english +\inputencoding auto +\font_roman default +\font_sans default +\font_typewriter default +\font_default_family default +\font_sc false +\font_osf false +\font_sf_scale 100 +\font_tt_scale 100 + +\graphics default +\paperfontsize default +\spacing single +\use_hyperref false +\papersize default +\use_geometry true +\use_amsmath 1 +\use_esint 1 +\cite_engine basic +\use_bibtopic false +\paperorientation portrait +\leftmargin 1in +\topmargin 1in +\rightmargin 1in +\bottommargin 1in +\secnumdepth 3 +\tocdepth 3 +\paragraph_separation indent +\defskip medskip +\quotes_language english +\papercolumns 1 +\papersides 1 +\paperpagestyle default +\tracking_changes false +\output_changes false +\author "" +\author "" +\end_header + +\begin_body + +\begin_layout Standard +Variance Functions: +\end_layout + +\begin_layout Standard +Constant: +\begin_inset Formula $\boldsymbol{1}$ +\end_inset + + +\end_layout + +\begin_layout Standard +Power: +\begin_inset Formula $\boldsymbol{X}^{2}$ +\end_inset + + +\end_layout + +\begin_layout Standard +Binomial: +\begin_inset Formula $np(1-p)\text{ where }p=\frac{\mu}{n};\,\, V(\mu)=np(1-p)$ +\end_inset + + +\end_layout + +\begin_layout Standard +\begin_inset Formula $\frac{\partial\mu}{\partial\eta}$ +\end_inset + + +\end_layout + +\begin_layout Standard +Links: initialization of base class returns the actual mean vector +\begin_inset Formula $\boldsymbol{\mu}$ +\end_inset + +; +\begin_inset Formula $p$ +\end_inset + + in the logit and subclasses; +\begin_inset Formula $x$ +\end_inset + + elsewhere. +\end_layout + +\begin_layout Standard +\begin_inset Float table +placement H +wide false +sideways false +status open + +\begin_layout Plain Layout +\begin_inset Tabular + + + + + + + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Link +\begin_inset Formula $g(p)$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Inverse +\begin_inset Formula $g^{-1}(p)$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Analytic Derivative +\begin_inset Formula $g^{\prime}(p)$ +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Logit +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $z=\log\frac{p}{1-p}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $p=\frac{e^{z}}{1+e^{z}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $g^{\prime}(p)=\frac{1}{p(1-p)}$ +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Power +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $z=x^{\text{pow}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $x=z^{\frac{1}{\text{pow}}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $g^{\prime}(x)=\text{pow}\cdot x^{\text{power}-1}$ +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Inverse +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +same as above with +\begin_inset Formula $\text{pow}=-1$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Square Root +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\text{pow}=0.5$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Identity +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\text{pow}=1$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Log +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $z=\log x$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $g^{-1}(z)=e^{z}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $g^{\prime}(x)=\frac{1}{x}$ +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +CDFLink/Probit +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $z=\Phi^{-1}(p)$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $p=\Phi(z)$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $g^{\prime}(x)=\frac{1}{\int_{-\infty}^{p}f(t)dt}$ +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Cauchy +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +same as the above with the Cauchy distribution +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +CLogLog +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $z=\log(-\log p)$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $p=e^{-e^{z}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $g^{\prime}(p)=-\frac{1}{p\log p}$ +\end_inset + + +\end_layout + +\end_inset + + + + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption + +\begin_layout Plain Layout +Link Functions +\end_layout + +\end_inset + + +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Standard +Initializing the family sets a link property and a variance based on the + link(?) +\end_layout + +\begin_layout Standard +\begin_inset Float table +placement H +wide false +sideways false +status open + +\begin_layout Plain Layout +\begin_inset Tabular + + + + + + + + + + +\begin_inset Text + +\begin_layout Plain Layout +Family +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Weights +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Deviance +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +DevResid +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Fitted +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Predict +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Base Class +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\frac{1}{(g^{\prime}(\mu))^{2}\cdot V(\mu)}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\frac{\sum_{i}\text{DevResid}^{2}}{\text{scale}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\left(Y-\mu\right)\cdot\sqrt{\text{weights}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\mu=g^{-1}(\eta)$ +\end_inset + +* +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\eta=g(\mu)$ +\end_inset + + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Poisson +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\text{sign}\left(Y-\mu\right)\sqrt{2Y\log\frac{Y}{\mu}-2(Y-\mu)}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Gaussian +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\frac{\left(Y-\mu\right)}{\text{\sqrt{\text{scale}\cdot V\left(\mu\right)}}}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Gamma +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +Bug? +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Binomial +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +\begin_inset Formula $\text{sign}\left(Y-\mu\right)\sqrt{-2Y\log\frac{\mu}{n}+\left(n-Y\right)\log\left(1-\frac{\mu}{n}\right)}$ +\end_inset + + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout +Inverse Gaussian +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout +? +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + +\begin_inset Text + +\begin_layout Plain Layout + +\end_layout + +\end_inset + + + + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +\begin_inset Caption + +\begin_layout Plain Layout +Families +\end_layout + +\end_inset + + +\end_layout + +\begin_layout Plain Layout +* +\begin_inset Formula $\eta$ +\end_inset + + is the linear predictor ie., +\begin_inset Formula $X\beta$ +\end_inset + + in the generalized linear model +\end_layout + +\end_inset + + +\end_layout + +\end_body +\end_document diff --git a/archive/docs/GLMNotes.pdf b/archive/docs/GLMNotes.pdf new file mode 100644 index 0000000000000000000000000000000000000000..cd8e6a68523e96884ff6f89df78ed505dc01d4a0 GIT binary patch literal 76810 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z2(<^EK!U9wcp?gBb36$+PY7l_2`C04BcQObu@O-4b)NvPoQCp+fPw3PK!&d=bax8H zLIf3!P`eSac-YzvWJ_ZPnkU5x#Mqq5$_S*1lRx!)V2m_&cL)2B@4F4K3)OYAcL#D{ zG5S|cx|)c+%4%3(FK~$@R#StdLD0hE)HT&e8fd&aNrR-0(b7~!{Qo9a2vt>1FB-*@ U_B|#iVo4Y>r=+Bop*H9L0Oa-Jq5uE@ literal 0 HcmV?d00001 diff --git a/archive/docs/fix_longtable.py b/archive/docs/fix_longtable.py new file mode 100644 index 0000000..1147c69 --- /dev/null +++ b/archive/docs/fix_longtable.py @@ -0,0 +1,22 @@ +#!/usr/bin/env python +import sys +import os + + +BUILDDIR = sys.argv[-1] +read_file_path = os.path.join(BUILDDIR,'latex','statsmodels.tex') +write_file_path = os.path.join(BUILDDIR, 'latex','statsmodels_tmp.tex') + +read_file = open(read_file_path, encoding="utf-8") +write_file = open(write_file_path, 'w', encoding="utf-8") + +for line in read_file: + if 'longtable}{LL' in line: + line = line.replace('longtable}{LL', 'longtable}{|l|l|') + write_file.write(line) + +read_file.close() +write_file.close() + +os.remove(read_file_path) +os.rename(write_file_path, read_file_path) diff --git a/archive/docs/source/genericmle.rst.TXT b/archive/docs/source/genericmle.rst.TXT new file mode 100644 index 0000000..e69de29 diff --git a/archive/tsa/ex_arma.py b/archive/tsa/ex_arma.py new file mode 100644 index 0000000..811d5b2 --- /dev/null +++ b/archive/tsa/ex_arma.py @@ -0,0 +1,99 @@ +''' + +does not seem to work so well anymore even with nobs=1000 ??? +works ok if noise variance is large +''' + +import numpy as np +import statsmodels.api as sm +from statsmodels.tsa.arima_process import arma_generate_sample +from statsmodels.tsa.arma_mle import Arma as Arma +from statsmodels.tsa.arima_process import ARIMA as ARIMA_old +from statsmodels.sandbox.tsa.garch import Arma as Armamle_old + + +print("\nExample 1") +ar = [1.0, -0.6, 0.1] +ma = [1.0, 0.5, 0.3] +nobs = 1000 +y22 = arma_generate_sample(ar, ma, nobs+1000, 0.5)[-nobs:] +y22 -= y22.mean() +start_params = [0.1, 0.1, 0.1, 0.1] +start_params_lhs = [-0.1, -0.1, 0.1, 0.1] + +print('truelhs', np.r_[ar[1:], ma[1:]]) + + + + + +###bug in current version, fixed in Skipper and 1 more +###arr[1:q,:] = params[p+k:p+k+q] # p to p+q short params are MA coeffs +###ValueError: array dimensions are not compatible for copy +##from statsmodels.tsa.arima import ARMA as ARMA_kf +##arma22 = ARMA_kf(y22, constant=False, order=(2,2)) +##res = arma22.fit(start_params=start_params) +##print res.params + +print('\nARIMA new') +arest2 = Arma(y22) + +naryw = 4 #= 30 +resyw = sm.regression.yule_walker(y22, order=naryw, inv=True) +arest2.nar = naryw +arest2.nma = 0 +e = arest2.geterrors(np.r_[1, -resyw[0]]) +x=sm.tsa.tsatools.lagmat2ds(np.column_stack((y22,e)),3,dropex=1, + trim='both') +yt = x[:,0] +xt = x[:,1:] +res_ols = sm.OLS(yt, xt).fit() +print('hannan_rissannen') +print(res_ols.params) +start_params = res_ols.params +start_params_mle = np.r_[-res_ols.params[:2], + res_ols.params[2:], + #res_ols.scale] + #areste.var()] + np.sqrt(res_ols.scale)] +#need to iterate, ar1 too large ma terms too small +#fix large parameters, if hannan_rissannen are too large +start_params_mle[:-1] = (np.sign(start_params_mle[:-1]) + * np.minimum(np.abs(start_params_mle[:-1]),0.75)) + + +print('conditional least-squares') + +#print rhohat2 +print('with mle') +arest2.nar = 2 +arest2.nma = 2 +# +res = arest2.fit_mle(start_params=start_params_mle, method='nm') #no order in fit +print(res.params) +rhohat2, cov_x2a, infodict, mesg, ier = arest2.fit((2,2)) +print('\nARIMA_old') +arest = ARIMA_old(y22) +rhohat1, cov_x1, infodict, mesg, ier = arest.fit((2,0,2)) +print(rhohat1) +print(np.sqrt(np.diag(cov_x1))) +err1 = arest.errfn(x=y22) +print(np.var(err1)) +print('bse ls, formula not checked') +print(np.sqrt(np.diag(cov_x1))*err1.std()) +print('bsejac for mle') +#print arest2.bsejac +#TODO:check bsejac raises singular matrix linalg error +#in model.py line620: return np.linalg.inv(np.dot(jacv.T, jacv)) + +print('\nyule-walker') +print(sm.regression.yule_walker(y22, order=2, inv=True)) + +print('\nArmamle_old') +arma1 = Armamle_old(y22) +arma1.nar = 2 +arma1.nma = 2 +#arma1res = arma1.fit(start_params=np.r_[-0.5, -0.1, 0.1, 0.1, 0.5], method='fmin') +# maxfun=1000) +arma1res = arma1.fit(start_params=res.params*0.7, method='fmin') +print(arma1res.params) diff --git a/archive/tsa/notes_organize.txt b/archive/tsa/notes_organize.txt new file mode 100644 index 0000000..40cf731 --- /dev/null +++ b/archive/tsa/notes_organize.txt @@ -0,0 +1,227 @@ + + + +scikits.statsmodels.sandbox.tsa.kalmanf +--------------------------------------- +ARMA : ARMA model using the exact Kalman Filter +StateSpaceModel : +kalmanfilter : Returns the negative log-likelihood of y +conditional on the information set +kalmansmooth : +updatematrices : TODO: change API, update names + + +scikits.statsmodels.sandbox.tsa.arima +------------------------------------- + +runs ok, no refactoring bugs +has examples and monte carlo that can be split up into example files + +ARIMA : currently ARMA only, no differencing used - no I +arma2ar : get the AR representation of an ARMA process +arma2ma : get the impulse response function (MA representation) for +ARMA process +arma_acf : theoretical autocovariance function of ARMA process +arma_acovf : theoretical autocovariance function of ARMA process +arma_generate_sample : generate an random sample of an ARMA process +arma_impulse_response : get the impulse response function (MA +representation) for ARMA process +arma_pacf : partial autocorrelation function of an ARMA process +deconvolve : Deconvolves divisor out of signal, division of +polynomials for n terms +index2lpol : expand coefficients to lag poly +lpol2index : remove zeros from lagpolynomial, squeezed +representation with index +mcarma22 : run Monte Carlo for ARMA(2,2) + + +scikits.statsmodels.sandbox.tsa.varma +------------------------------------- + +just filter experiments +needed to fix import for acf example + +VAR : multivariate linear filter +VARMA : multivariate linear filter + +scikits.statsmodels.sandbox.tsa.varma_tools +------------------------------------------- + +Helper and filter functions for VAR and VARMA, and basic VAR class +needed import fix in top of module +maybe rename to varma_process +in "main" example for VarmaPoly, and some Var fit +Var could be used for Granger Causality tests, otherwise it's pretty limited + +Var : + simultaneous OLS estimation +VarmaPoly : class to keep track of Varma polynomial format + working with and transforming VARMA Lag-Polynomials (3d) +ar2full : make reduced lagpolynomial into a right side lagpoly array +ar2lhs : convert full (rhs) lagpolynomial into a reduced, left side +lagpoly array +padone : pad with zeros along one axis, currently only axis=0 +trimone : trim number of array elements along one axis +varfilter : apply an autoregressive filter to a series x +vargenerate : generate an VAR process with errors u +varinversefilter : creates inverse ar filter (MA representation) recursively + + +scikits.statsmodels.sandbox.tsa.try_fi +-------------------------------------- + +(not included by script that generates this list) +various functions to build lag-polynomials for fractional and seasonal integration +and function ar2arma minimizes distance in terms of impulse response function + +move these to a module or rename + +scikits.statsmodels.sandbox.tsa.try_var_convolve.py +--------------------------------------------------- + +(not included by script that generates this list) +two functions: +arfilter : autoregressive filter for 1d, 2d and 3d +fftconvolve : multidimensional filtering using fft + +many examples, but I'm not sure this (fft) is correct +incompletely copied for interpreter session +currently raises exception because a variable (imp) is not defined + +scikits.statsmodels.sandbox.tsa.try_var_convolve.py +--------------------------------------------------- + +(not included by script that generates this list) +includes functions for +detrending, +(theoretical) acovf and similar for special cases +acf plot functions + +(partially copied from matplotlib.mlab) + +currently exception: FIXED +uses arima.ARIMA class without data in constructor, and order now has 3 values and +is keyword with tuple as value + +move plot function to new graphics directory ? + + +scikits.statsmodels.sandbox.regression.mle +------------------------------------------ + +one refactoring bug fixed, because arima.ARIMA needs data, use class method instead +runs without exception, but I did not look at any results +"main" has quite a lot + +AR : Notes +Arma : univariate Autoregressive Moving Average model +Garch : Garch model gjrgarch (t-garch) +Garch0 : Garch model, +GarchX : Garch model, +LikelihoodModel : Likelihood model is a subclass of Model. +TSMLEModel : univariate time series model for estimation with +maximum likelihood +garchplot : +generate_garch : simulate standard garch +generate_gjrgarch : simulate gjr garch process +generate_kindofgarch : simulate garch like process but not squared +errors in arma +gjrconvertparams : flat to matrix +loglike_GARCH11 : +miso_lfilter : use nd convolution to merge inputs, +normloglike : +test_gjrgarch : +test_misofilter : + +Other +----- +diffusion: continuous time processes, produce nice graphs but parameterization is +a bit inconsistent. + + +script files +============ + +sandbox/tsa/try_arma_more.py +---------------------------- + +imports scikits.talkbox which is not compiled against my current numpy and does not +run +contains +arma_periodogram : theoretical periodogram + + +Proposed Structure (preliminary) +================================ + +arima_estimation +---------------- +ARIMA class for estimation, wrapper or containing different estimators +other wrappers: here or in separate ??? + - support for choosing lag-length + + +arma_process +------------ +all theoretical properties for given parameters +simulation method with options: initial conditions, errors, (?) not sure what else + +varma_process +------------- +including VarmaPoly and impulse response functions + +filters +------- +miso_filter (should be in cython eventually) +ar_filter : fast VAR filter with convolution or fft convolution +(not sure what's the relationship between the two) +others ??? + +stattools +--------- +empirical properties +acf, ... + +tsatools +-------- +helper functions +lagmat +detrend ??? + +others, unclear +--------------- +??? + +open questions +============== + +support for exog +---------------- +is incomplete or missing from some implementations +not clear parameterization +- ARMAX A(L)y_t = C(L)x_t + B(L)e_t +- ARMAX-simple A(L)y_t = beta x_t + B(L)e_t + Note: covers previous version by extending x_t + +- ARMA residuals y_t = beta x_t + u_t, and A(L)u_t = B(L)e_t +- ARMAX 2-step A(L)(y_t - beta x_t) = B(L)e_t + Note: looks the same as ARMA residuals, implies + A(L)y_t = A(L)x_t + B(L)e_t + +- ARMAX A(L)(y_t - A^{-1}(L) C(L) x_t) = B(L)e_t + this does not look useful, unless we cutoff A^{-1}(L) + +problem: signal.lfilter can only handle ARMAX residuals model (I think) +deterministic trend have ARMAX-simple model, e.g. in unit root tests + + +support for seasonal and "sparse" lag-polynomials +------------------------------------------------- +- fit functions need support for different lag structures, + e.g. zeros, multiplicative +- support for pre-filters, e.g. (seasonal) differencing + + + + + diff --git a/azure-pipelines.yml b/azure-pipelines.yml new file mode 100644 index 0000000..bf8ed8b --- /dev/null +++ b/azure-pipelines.yml @@ -0,0 +1,36 @@ +# https://docs.microsoft.com/en-us/azure/devops/pipelines/process/templates?view=azure-devops#passing-parameters + +trigger: +- main +schedules: +- cron: "0 6 * * 1" # Each Monday at 06:00 UTC + displayName: Weekly scheduled run + branches: + include: [main, maintenance/0.13.x] + always: true + +variables: + MKL_NUM_THREADS: 1 + NUMEXPR_NUM_THREADS: 1 + OMP_NUM_THREADS: 1 + VML_NUM_THREADS: 1 + OPENBLAS_NUM_THREADS: 1 + PYTHONHASHSEED: 0 # Ensure tests are correctly gathered by xdist + USE_MATPLOTLIB: true + +jobs: + +- template: tools/ci/azure/azure_template_windows.yml + parameters: + name: Windows + vmImage: windows-latest + +- template: tools/ci/azure/azure_template_posix.yml + parameters: + name: macOS + vmImage: macOS-latest + +- template: tools/ci/azure/azure_template_posix.yml + parameters: + name: Linux + vmImage: ubuntu-latest diff --git a/codecov.yml b/codecov.yml new file mode 100644 index 0000000..b10ac31 --- /dev/null +++ b/codecov.yml @@ -0,0 +1,16 @@ +codecov: + branch: main + notify: + require_ci_to_pass: no + after_n_builds: 1 + +comment: off + +coverage: + status: + project: + default: + target: '82' + patch: + default: + target: '50' diff --git a/docs/Makefile b/docs/Makefile new file mode 100644 index 0000000..a77686d --- /dev/null +++ b/docs/Makefile @@ -0,0 +1,44 @@ +# Minimal makefile for Sphinx documentation +# + +# You can set these variables from the command line, and also +# from the environment for the first two. +SPHINXOPTS ?= +SPHINXBUILD ?= sphinx-build +SOURCEDIR = source +BUILDDIR = build + +PAPER = +TOOLSPATH = ../tools/ +DATASETBUILD = dataset_rst.py +NOTEBOOKBUILD = nbgenerate.py + +# Internal variables. +PAPEROPT_a4 = -D latex_paper_size=a4 +PAPEROPT_letter = -D latex_paper_size=letter + +# Put it first so that "make" without argument is like "make help". +help: + @$(SPHINXBUILD) -M help "$(SOURCEDIR)" "$(BUILDDIR)" $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(O) + +.PHONY: help Makefile + +html: + # make directories for images + @echo "Make static directory for images" + mkdir -p $(BUILDDIR)/html/_static + # generate the examples rst files + @echo "Generating datasets from installed statsmodels.datasets" + $(TOOLSPATH)$(DATASETBUILD) + @echo "Executing notebooks from examples/notebooks folder" + mkdir -p $(BUILDDIR)/source/examples/notebooks/generated + # Black list notebooks from doc build here + $(TOOLSPATH)$(NOTEBOOKBUILD) --parallel --report-errors --skip-existing --execute-only --execution-blacklist statespace_custom_models + @echo "Running sphinx-build" + @echo @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(O) + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(O) + +# Catch-all target: route all unknown targets to Sphinx using the new +# "make mode" option. $(O) is meant as a shortcut for $(SPHINXOPTS). +%: Makefile + @$(SPHINXBUILD) -M $@ "$(SOURCEDIR)" "$(BUILDDIR)" $(PAPEROPT_$(PAPER)) $(SPHINXOPTS) $(O) diff --git a/docs/README.md b/docs/README.md new file mode 100644 index 0000000..b5a277e --- /dev/null +++ b/docs/README.md @@ -0,0 +1,37 @@ +# Documentation Documentation + +We use a combination of sphinx and Jupyter notebooks for the documentation. +Jupyter notebooks should be used for longer, self-contained examples demonstrating +a topic. +Sphinx is nice because we get the tables of contents and API documentation. + +## Build Process + +Building the docs requires a few additional dependencies. You can get most +of these with + +```bash + + python -m pip install -e .[docs] + +``` + +From the root of the project. +Some of the examples rely on `rpy2` to execute R code from the notebooks. +It's not included in the setup requires since it's known to be difficult to +install. + +To generate the HTML docs, run ``make html`` from the ``docs`` directory. +This executes a few distinct builds + +1. datasets +2. notebooks +3. sphinx + +# Notebook Builds + +We're using `nbconvert` to execute the notebooks, and then convert them +to HTML. The conversion is handled by `statsmodels/tools/nbgenerate.py`. +The default python kernel (embedded in the notebook) is `python3`. +You need at least `nbconvert==4.2.0` to specify a non-default kernel, +which can be passed in the Makefile. diff --git a/docs/make.bat b/docs/make.bat new file mode 100644 index 0000000..51b533f --- /dev/null +++ b/docs/make.bat @@ -0,0 +1,58 @@ +@ECHO OFF + +pushd %~dp0 + +REM Command file for Sphinx documentation + +if "%SPHINXBUILD%" == "" ( + set SPHINXBUILD=sphinx-build +) +set SOURCEDIR=source +set BUILDDIR=build + +set TOOLSPATH=../tools +set DATASETBUILD=dataset_rst.py +set NOTEBOOKBUILD=nbgenerate.py + +if "%1" == "" goto help + +%SPHINXBUILD% >NUL 2>NUL +if errorlevel 9009 ( + echo. + echo.The 'sphinx-build' command was not found. Make sure you have Sphinx + echo.installed, then set the SPHINXBUILD environment variable to point + echo.to the full path of the 'sphinx-build' executable. Alternatively you + echo.may add the Sphinx directory to PATH. + echo. + echo.If you don't have Sphinx installed, grab it from + echo.http://sphinx-doc.org/ + exit /b 1 +) + +if "%1" == "html" ( + echo mkdir %BUILDDIR%\html\_static + mkdir %BUILDDIR%\html\_static + echo python %TOOLSPATH%/%NOTEBOOKBUILD% --parallel --report-errors --skip-existing + rem Black list notebooks from doc build here + python %TOOLSPATH%/%NOTEBOOKBUILD% --parallel --report-errors --skip-existing --execution-blacklist statespace_custom_models + echo python %TOOLSPATH%/%DATASETBUILD% + python %TOOLSPATH%/%DATASETBUILD% +) + +echo %SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +%SPHINXBUILD% -M %1 %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% +goto end + +if "%1" == "html" ( + echo xcopy /s /y source\examples\notebooks\generated\*.html %BUILDDIR%\html\examples\notebooks\generated\*.html + xcopy /s /y source\examples\notebooks\generated\*.html %BUILDDIR%\html\examples\notebooks\generated\*.html + if NOT EXIST %BUILDDIR%/html/examples/notebooks/generated mkdir %BUILDDIR%\html\examples\notebooks\generated +) + +goto end + +:help +%SPHINXBUILD% -M help %SOURCEDIR% %BUILDDIR% %SPHINXOPTS% %O% + +:end +popd diff --git a/docs/source/_static/blogger.png b/docs/source/_static/blogger.png new file mode 100644 index 0000000000000000000000000000000000000000..7557cf91c46182c08a6a9aeca53ad9889d8e88c6 GIT binary patch literal 5547 zcmbVQXH-*7w+;v*p~#B{1R>N&2~CPprHgb02?h{Q69JWuw5ar=^b&gSLTHKfD%~J0 z2u2`?AVNgCp!DzX{kT8Ad)K;m-5-0cnLRUm&YW|eXP&)Z-!{=>0ds>vAP|fGEgdru zh{gjjw{x_BM?BWS0tAA1=<8_S_03wPXx_3x7DQ~GsAepQhQY{ZIVYnxz?XAanv!rA z1t2e?tcpZ##G@v%{iBerdU?G5LdM$DMjUO7kF>`Lj7B>yS5OabNxz7axfWTaoIL6$ zV|L~Tmg(w6N4A)X9NqMHSD#RcDnD~_D>@~2DF?IG*728Gno9@zaTv8q z16r0x(FZ>GPg^HLHKx5Aem@-C-P%X@?ebeKX(4RasD2jH7Hwpbw?*PLczr*e za520vs8x88c8675rOd`2V`O|NSUmmByWwtyBcZ@5?87-Xl7?-QMw5oNCU{9fY>?<} zVajPyvFtaodmE(3OiwfwRnPyGx0=tRuXnluwID~z>_Xo2lWX~hp|jFc(1;z}Gs~Ut zK{--WJZDDrn`N8jE5{0YKSZ_RK8ah25&nXE(C^A>6S0lt0peN;M~ASe2D_B;Q(W=} z-UW~JYbu?<=cwLVgVQb(9dSj2@{j} zF^8k$lX}Xd6D`p2bp***Y)zUy0PzH(b{MS>j^{YzcfaGpikZttBvR~Y9nZqb8Anaa zo4v?Ik%#_!WPDf9`FM|7UbfyOY$~Q%y*mZTzj`xDe3(06;u0Qzf8vOX!yI&-`TO%n zv%mT{#v9xV!~(5zET0G5lr}yd<{knY)7YSzC4S(w%t1a}l2Q4%)|p41;JNxG3&~eb z-?2uhV)xkyOe0OzK|ekLpEf`wea z)K^&TH&+m{s6lQ=(D+kTKk$vzw5&Kit9MWl? 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Trigger the 'close.facebox' document event: + * + * jQuery(document).trigger('close.facebox') + * + * Facebox also has a bunch of other hooks: + * + * loading.facebox + * beforeReveal.facebox + * reveal.facebox (aliased as 'afterReveal.facebox') + * init.facebox + * afterClose.facebox + * + * Simply bind a function to any of these hooks: + * + * $(document).bind('reveal.facebox', function() { ...stuff to do after the facebox and contents are revealed... }) + * + */ +(function($) { + $.facebox = function(data, klass) { + $.facebox.loading(data.settings || []) + + if (data.ajax) fillFaceboxFromAjax(data.ajax, klass) + else if (data.image) fillFaceboxFromImage(data.image, klass) + else if (data.div) fillFaceboxFromHref(data.div, klass) + else if ($.isFunction(data)) data.call($) + else $.facebox.reveal(data, klass) + } + + /* + * Public, $.facebox methods + */ + + $.extend($.facebox, { + settings: { + opacity : 0.2, + overlay : true, + loadingImage : '/facebox/loading.gif', + closeImage : '/facebox/closelabel.png', + imageTypes : [ 'png', 'jpg', 'jpeg', 'gif' ], + faceboxHtml : '\ + ' + }, + + loading: function() { + init() + if ($('#facebox .loading').length == 1) return true + showOverlay() + + $('#facebox .content').empty(). + append('
') + + $('#facebox').show().css({ + top: getPageScroll()[1] + (getPageHeight() / 10), + left: $(window).width() / 2 - ($('#facebox .popup').outerWidth() / 2) + }) + + $(document).bind('keydown.facebox', function(e) { + if (e.keyCode == 27) $.facebox.close() + return true + }) + $(document).trigger('loading.facebox') + }, + + reveal: function(data, klass) { + $(document).trigger('beforeReveal.facebox') + if (klass) $('#facebox .content').addClass(klass) + $('#facebox .content').empty().append(data) + $('#facebox .popup').children().fadeIn('normal') + $('#facebox').css('left', $(window).width() / 2 - ($('#facebox .popup').outerWidth() / 2)) + $(document).trigger('reveal.facebox').trigger('afterReveal.facebox') + }, + + close: function() { + $(document).trigger('close.facebox') + return false + } + }) + + /* + * Public, $.fn methods + */ + + $.fn.facebox = function(settings) { + if ($(this).length == 0) return + + init(settings) + + function clickHandler() { + $.facebox.loading(true) + + // support for rel="facebox.inline_popup" syntax, to add a class + // also supports deprecated "facebox[.inline_popup]" syntax + var klass = this.rel.match(/facebox\[?\.(\w+)\]?/) + if (klass) klass = klass[1] + + fillFaceboxFromHref(this.href, klass) + return false + } + + return this.bind('click.facebox', clickHandler) + } + + /* + * Private methods + */ + + // called one time to setup facebox on this page + function init(settings) { + if ($.facebox.settings.inited) return true + else $.facebox.settings.inited = true + + $(document).trigger('init.facebox') + makeCompatible() + + var imageTypes = $.facebox.settings.imageTypes.join('|') + $.facebox.settings.imageTypesRegexp = new RegExp('\\.(' + imageTypes + ')(\\?.*)?$', 'i') + + if (settings) $.extend($.facebox.settings, settings) + $('body').append($.facebox.settings.faceboxHtml) + + var preload = [ new Image(), new Image() ] + preload[0].src = $.facebox.settings.closeImage + preload[1].src = $.facebox.settings.loadingImage + + $('#facebox').find('.b:first, .bl').each(function() { + preload.push(new Image()) + preload.slice(-1).src = $(this).css('background-image').replace(/url\((.+)\)/, '$1') + }) + + $('#facebox .close') + .click($.facebox.close) + .append('') + } + + // getPageScroll() by quirksmode.com + function getPageScroll() { + var xScroll, yScroll; + if (self.pageYOffset) { + yScroll = self.pageYOffset; + xScroll = self.pageXOffset; + } else if (document.documentElement && document.documentElement.scrollTop) { // Explorer 6 Strict + yScroll = document.documentElement.scrollTop; + xScroll = document.documentElement.scrollLeft; + } else if (document.body) {// all other Explorers + yScroll = document.body.scrollTop; + xScroll = document.body.scrollLeft; + } + return new Array(xScroll,yScroll) + } + + // Adapted from getPageSize() by quirksmode.com + function getPageHeight() { + var windowHeight + if (self.innerHeight) { // all except Explorer + windowHeight = self.innerHeight; + } else if (document.documentElement && document.documentElement.clientHeight) { // Explorer 6 Strict Mode + windowHeight = document.documentElement.clientHeight; + } else if (document.body) { // other Explorers + windowHeight = document.body.clientHeight; + } + return windowHeight + } + + // Backwards compatibility + function makeCompatible() { + var $s = $.facebox.settings + + $s.loadingImage = $s.loading_image || $s.loadingImage + $s.closeImage = $s.close_image || $s.closeImage + $s.imageTypes = $s.image_types || $s.imageTypes + $s.faceboxHtml = $s.facebox_html || $s.faceboxHtml + } + + // Figures out what you want to display and displays it + // formats are: + // div: #id + // image: blah.extension + // ajax: anything else + function fillFaceboxFromHref(href, klass) { + // div + if (href.match(/#/)) { + var url = window.location.href.split('#')[0] + var target = href.replace(url,'') + if (target == '#') return + $.facebox.reveal($(target).html(), klass) + + // image + } else if (href.match($.facebox.settings.imageTypesRegexp)) { + fillFaceboxFromImage(href, klass) + // ajax + } else { + fillFaceboxFromAjax(href, klass) + } + } + + function fillFaceboxFromImage(href, klass) { + var image = new Image() + image.onload = function() { + $.facebox.reveal('
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