search

mschauer / CausalInference.jl

Causal inference, graphical models and structure learning in Julia
https://mschauer.github.io/CausalInference.jl/latest/
Other
189 stars 24 forks source link

Roadmap / Contributing #1

Closed mschauer closed 1 year ago

mschauer commented 7 years ago

Contributions, comments and feature requests are most welcome.

The vanilla PC algorithm, the Markov skeleton algorithm and a function to check d-separation for directed graphs are implemented.

Regards!

Tagging @tfgit, @jeffwong

mschauer commented 3 years ago

There is unfinished work on independence tests for categorical variables in #11, if you happen to need that, please ping us.

schnirz commented 3 years ago

The CMI tests take quite a long time right now, even for moderately sized data sets. It would be really interesting to investigate different approaches to speeding these tests up, e.g. via parallelization of the CMI tests or of the PC/FCI algorithms.

mschauer commented 1 year ago

Can be reopen if useful.