Causal Effect Random Forest of Interaction Trees R package CERFIT version 0.2.0 Fits a Causal Effect Random Forest of Interaction Trees (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>. Software Depends: R (>= 2.10) Imports: partykit, CBPS, randomForest, twang, Rcpp, stats, glmnet, survival LinkingTo: Rcpp, RcppArmadillo Justin Thorp <jjtthorp@gmail.com> Comprehensive R Archive Network (CRAN) Justin Thorp [aut, cre], Joshua Moffat [aut], Luo Li [aut], Juanjuan Fan [aut] GPL (>= 2) 2026-05-07 application/tgz https://CRAN.R-project.org/package=CERFIT doi:10.32614/CRAN.package.CERFIT