causality is still in early development, but there are a few useful things you do with the R package.
You can agregrate graphs into order to access the stabiliity of algorithms, you
can convert dags to patterns and patterns to dags, and you can employ
causality's (BETA) implementation of greedy equivalence search (GES) to learn
bayesian networks. ges current contains support for continuous BIC, discrete BIC, and BDeu scoring.
You can install casuality via the R package devtools
# install.packages("devtools")
devtools::install_github("tzimiskes/causality", build_opts = c())
You will need a C compiler that supports C99. This can be accomplished by installing Rtools on Windows and Xcode on MacOS.
If you have any feedback ( suggestions, bugs, feature requests), let me know so I can address it!