rcf-package: rcf: Heterogenous Treatment Effect Estimation Using Random...
In till-tietz/rcf: Heterogenous Treatment Effect Estimation Using Random Forests
rcf-package R Documentation
rcf: Heterogenous Treatment Effect Estimation Using Random Forests
Description
rcf is a stripped down experimental rebuild of the grf-labs causal forest algorithm in R and C++. It supports estimation of heterogenous treatment effects and variable importance.
till-tietz/rcf documentation built on May 7, 2023, 10:23 p.m.
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| rcf-package | R Documentation |
rcf: Heterogenous Treatment Effect Estimation Using Random Forests
Description
rcf is a stripped down experimental rebuild of the grf-labs causal forest algorithm in R and C++. It supports estimation of heterogenous treatment effects and variable importance.
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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