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 X. Su, A. T. Peña, L. Liu, and R. A. Levine (2018) <doi:10.48550/arXiv.1709.04862>.
Version: 0.1.0 Depends: R (≥ 2.10) Imports: partykit, CBPS, randomForest, twang, Rcpp, stats, glmnet LinkingTo: Rcpp, RcppArmadillo Published: 2022-06-01 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: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=CERFIT to link to this page.
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