Causal Effect Random Forest of Interaction Trees [R package CERFIT version 0.1.1]

CERFIT: Causal Effect Random Forest of Interaction Trees

Fits a Causal Effect Random Forest of Interaction Tress (CERFIT) which is a modification of the Random Forest algorithm where each split is chosen to maximize subgroup treatment heterogeneity. Doing this allows it to estimate the individualized treatment effect for each observation in either randomized controlled trial (RCT) or observational data. For more information see L. Li, R. A. Levine, and J. Fan (2022) <doi:10.1002/sta4.457>.

Version: 0.1.1

Depends: R (≥ 2.10)

Imports: partykit, CBPS, randomForest, twang, Rcpp, stats, glmnet

LinkingTo: Rcpp, RcppArmadillo

Published: 2025年09月26日

DOI: 10.32614/CRAN.package.CERFIT

Author: Justin Thorp [aut, cre], Luo Li [aut], Juanjuan Fan [aut]

Maintainer: Justin Thorp <jjtthorp at gmail.com>

License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]

NeedsCompilation: yes

Materials: README

CRAN checks: CERFIT results

Documentation:

Reference manual: CERFIT.html , CERFIT.pdf

Downloads:

Package source: CERFIT_0.1.1.tar.gz

Windows binaries: r-devel: CERFIT_0.1.1.zip, r-release: CERFIT_0.1.1.zip, r-oldrel: CERFIT_0.1.1.zip

macOS binaries: r-release (arm64): CERFIT_0.1.1.tgz, r-oldrel (arm64): CERFIT_0.1.1.tgz, r-release (x86_64): CERFIT_0.1.1.tgz, r-oldrel (x86_64): CERFIT_0.1.1.tgz

Old sources: CERFIT archive

Linking:

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