Software packages
- R code for “StabilizedRegression” available on
CRAN. Source
and bug report on
github.
- R code for “CausalKinetiX” available on CRAN. Source
and bug report on
github.
- R code for “dHSIC” available on CRAN. Source
and bug report on
github.
- R code for “seqICP” available on
CRAN. Source
and bug report on github.
- Python, R and Matlab code for “coroICA” is available on the project website.
Jupyter Notebooks (in R)
Jonas Peters and I have created
some jupyter notebooks. They give a self-contained overview of a few
selected topics related to causality and include several coding
exercises. Currently, we have notebooks for the topics
- Computing Interventions
- Instrumental Variables
- Restricted Structural Causal Models
- Invariant Prediction
They can be downloaded
here. The package contains
a “readme” with some instructions for installing jupyter notebook (we
apologize if the instructions are out-of-date). Most importantly, you
may want to run “setupNotebook.ipynb” first to make sure that
everything is working.