Issues
- 1
Move to a conda-only install of pymc
#297 opened - 0
Allow causal impact plots to show posterior predicted outcome, not just model expectation
#295 opened - 0
Ensure causal impact is calculated from posterior predicted observations, not expected values
#294 opened - 2
- 0
Remove the `pip install` lines in `Makefile` and add the `--no-deps` flag for the local install
#287 opened - 2
Make docstring examples more stable
#284 opened - 0
- 1
- 2
- 2
Bayesian Power Analysis
#276 opened - 4
- 3
check `Makefile` now that we use ruff
#271 opened - 3
Ruff linter and formater
#267 opened - 0
- 1
- 0
Improve the CausalPy PyPI page
#261 opened - 0
- 4
fix error in plot method
#257 opened - 3
Allow 'extrapolation' in synthetic control
#256 opened - 2
Synthetic control has problems when the time series of interest is higher than the others
#255 opened - 3
Multivariate synthetic control
#252 opened - 3
System error when importing CausalPy
#251 opened - 2
- 3
- 0
- 0
Improve math rendering of models in the docs
#238 opened - 1
Get logo to show on readthedocs
#237 opened - 1
- 6
Bayesian IV slow for large data sets
#235 opened - 6
- 2
counterfactual analysis ANCOVA
#230 opened - 5
- 0
- 0
- 0
Regression Discontinuity: improve examples
#222 opened - 0
- 0
- 0
- 0
Enable bibtex references in the docs
#214 opened - 1
- 1
- 3
- 1
Fix broken remote build of docs
#208 opened - 9
- 0
Simplify `ExperimentalDesign` classes by consolidating relevant properties into `idata` object
#199 opened - 0
- 0
- 0
Add `InterruptedTimeSeries` class
#191 opened - 4
Multiple Treatment causal impact
#189 opened - 0