FindIt: Finding Heterogeneous Treatment Effects

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. The package also contains the function, INT, which estimates the average marginal treatment effect, the average treatment combination effect, and the average marginal treatment interaction effect proposed by Egami and Imai (2015).

Version: 0.5
Depends: R (≥ 2.15.0), glmnet, lars, Matrix
Published: 2015-02-27
Author: Naoki Egami, Marc Ratkovic, Kosuke Imai,
Maintainer: Naoki Egami <naoki.egami5 at gmail.com>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
CRAN checks: FindIt results

Downloads:

Reference manual: FindIt.pdf
Package source: FindIt_0.5.tar.gz
Windows binaries: r-devel: FindIt_0.5.zip, r-release: FindIt_0.5.zip, r-oldrel: FindIt_0.5.zip
OS X Snow Leopard binaries: r-release: FindIt_0.5.tgz, r-oldrel: FindIt_0.5.tgz
OS X Mavericks binaries: r-release: FindIt_0.5.tgz
Old sources: FindIt archive