causalLearning.Rcheck/00_pkg_src/causalLearning/README.md
In saberpowers/causalLearning: Methods for heterogeneous treatment effect estimation
causalLearning
Methods for heterogeneous treatment effect estimation
This R package includes functions for fitting the pollinated
transformed outcome forest, causal boosting and causal MARS from
Powers et al. (2017).
The package is currently in beta, not yet ready for public consumption.
saberpowers/causalLearning documentation built on May 30, 2019, 8:26 a.m.
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causalLearning
Methods for heterogeneous treatment effect estimation
This R package includes functions for fitting the pollinated transformed outcome forest, causal boosting and causal MARS from Powers et al. (2017).
The package is currently in beta, not yet ready for public consumption.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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