0.4.0

What's Changed

Major Changes 🛠

• Major code refactor to unify quasi experiment classes by @drbenvincent in #381

New Features 🎉

• Add example of multiple geo lift test analysis by @drbenvincent in #338

Documentation 📖

• Change docs theme by @drbenvincent in #371
• fix docstring example rendering by @OriolAbril in #376
• Add page of causal video resources from PyMC community into the docs by @ParthJohri in #379
• use labs theme from external repo by @OriolAbril in #385
• fix missing notebooks in docs by @drbenvincent in #398

New Contributors

• @ParthJohri made their first contribution in #379

Full Changelog: 0.3.1...0.4.0

0.3.1

What's Changed

New Features 🎉

• Add support for Python 3.12 by @drbenvincent in #347
• Enable summary method for all currently implemented frequentist experiments by @drbenvincent in #355
• Improve formatting of model coefficients in summary method in pymc-based experiments by @drbenvincent in #359

Documentation 📖

• Add docs on justifying instruments in the IV approach by @NathanielF in #345
• Various improvements to documentation infrastructure by @OriolAbril in #354

Maintenance 🔧

• Update codecov-action@v3 to v4 by @drbenvincent in #349
• Simplify remote GitHub actions by building test environment only once by @drbenvincent in #351
• Fix up ruff pre-commit checks to operate on notebooks by @drbenvincent in #352
• Remove all remaining traces of nbqa from the repo by @drbenvincent in #353

Full Changelog: 0.3.0...0.3.1

0.3.0

What's Changed

New Features 🎉

• Add propensity weighting schemes and covariate balance plot functionality by @NathanielF in #311

Bugfixes 🐛

• Fix FutureError warning, which requires pymc>=5.14.0 by @drbenvincent in #325
• Fix failing doctests by @drbenvincent in #330

Documentation 📖

• Add new knowledge base page on causal DAGS for quasi-experiments by @drbenvincent in #321
• Add Propensity Score DAG to Knowledge Base by @NathanielF in #337

Maintenance 🔧

• Revert the GitHub Actions update due to Node 16 sunset. by @anevolbap in #316
• Automate pre commit updates by @juanitorduz in #322
• Move to a conda only install of pymc (local dev workflow) by @drbenvincent in #304
• Fix #329: Add random_seed to the InstrumentalVariableRegression.fit method. by @anevolbap in #335

New Contributors

• @pre-commit-ci made their first contribution in #334

Full Changelog: 0.2.3...0.3.0

0.2.3

What's Changed

Bugfixes 🐛

• Fix #300: Set round_to as an optional argument. by @anevolbap in #301
• Fix #299: Rounding issue for DiD results. by @anevolbap in #302
• Fix #259: Annotation in did_skl notebook plot. by @anevolbap in #306

Documentation 📖

• Fix #210: Add scikit-learn plots to README. by @anevolbap in #307
• Add experiment design notation docs page to new Knowledge Base section of the docs by @drbenvincent in #312

Maintenance 🔧

• Upload versions due to Node 16 sunset. by @anevolbap in #310
• Fix #287 Update Makefile by @anevolbap in #309
• Drop support for Python 3.8 and 3.9, add 3.11 by @drbenvincent in #313

Full Changelog: 0.2.2...0.2.3

0.2.2

What's Changed

Bugfixes 🐛

• Fix #288: remove deprecated 'model' property in tests. by @anevolbap in #291
• Fix causal impact calculation error in synthetic control and interrupted time series by @drbenvincent in #296

Maintenance 🔧

• Expand data validation to also cover the scikit-learn experiment classes by @drbenvincent in #290

New Contributors

• @anevolbap made their first contribution in #291

Full Changelog: 0.2.1...0.2.2

0.2.1

What's Changed

New Features 🎉

• User specified number of significant figures for numbers in plots by @drbenvincent in #272
• Make results fully reproducible by @drbenvincent in #286
• User specified number of significant figures for numerical outputs by @drbenvincent in #283

Bugfixes 🐛

• changed splitting behaviour for PrePostFit by @rlaker in #275

Documentation 📖

• Fix missing images on PyPI page by @krz in #270

Maintenance 🔧

• Ignore causalpy/tests/ when running doctest to save a little time by @jpreszler in #280
• simplify doctest outputs by @jpreszler in #285

New Contributors

• @krz made their first contribution in #270
• @jsakv made their first contribution in #274
• @rlaker made their first contribution in #275

Full Changelog: 0.2.0...0.2.1

0.2.0

What's Changed

New Features 🎉

• Add ability to analyse Regression Kink Analysis Designs by @drbenvincent in #264

Full Changelog: 0.1.2...0.2.0

0.1.2

What's Changed

Bugfixes 🐛

• fix PrePostNEGD input validation by @jpreszler in #247
• Fix error in plot method by @drbenvincent in #258

Documentation 📖

• Add logo to readthedocs and add favicon by @jpreszler in #245
• update README by @drbenvincent in #260

Full Changelog: 0.1.1...0.1.2

0.1.1

What's Changed

Documentation 📖

• Fix broken instrumental variable regression image link by @alexmalins in #234
• Increase docstring coverage and add doctests by @jpreszler in #232
• Improve math rendering of pymc model docs by @jpreszler in #240
• Update website and email contact details from .io to .com domain by @drbenvincent in #243

New Contributors

• @alexmalins made their first contribution in #234
• @jpreszler made their first contribution in #232

Full Changelog: 0.1.0...0.1.1

0.1.0

What's Changed

New Features 🎉

• Add an epsilon parameter to RegressionDiscontinuity classes by @drbenvincent in #224
• Regression Discontinuity: add ability to specify bandwidth by @drbenvincent in #226
• Add Bayesian instrumental variable estimation by @NathanielF in #213

Documentation 📖

• Improvements to Brexit example notebook on synthetic control by @drbenvincent in #227

New Contributors

• @NathanielF made their first contribution in #213

Full Changelog: 0.0.14...0.1.0