FindIt: R Package for Finding Heterogeneous Treatment Effects

FindIt is an R package that implements the heterogeneous treatment effect estimation procedure proposed by Imai and Ratkovic (2013). The proposed method is applicable, for example, when selecting a small number of most (or least) efficacious treatments from a large number of alternative treatments as well as when identifying subsets of the population who benefit (or are harmed by) a treatment of interest. The method adapts the Support Vector Machine classifier by placing separate LASSO constraints over the pre-treatment parameters and causal heterogeneity parameters of interest. This allows for the qualitative distinction between causal and other parameters, thereby making the variable selection suitable for the exploration of causal heterogeneity.

Version: 0.3
Depends: R (≥ 2.15.0), glmnet, lars
Imports: glmnet, lars
Published: 2013-02-01
Author: Marc Ratkovic, Kosuke Imai,
Maintainer: Marc Ratkovic <ratkovic at princeton.edu>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: ChangeLog
CRAN checks: FindIt results

Downloads:

Reference manual: FindIt.pdf
Package source: FindIt_0.3.tar.gz
OS X binary: FindIt_0.3.tgz
Windows binary: FindIt_0.3.zip
Old sources: FindIt archive