Causal inference for a binary treatment and continuous outcome using Bayesian Causal Forests. See Hahn, Murray and Carvalho (2020) <doi:10.1214/19-BA1195> for additional information. This implementation relies on code originally accompanying Pratola et. al. (2013) <doi:10.48550/arXiv.1309.1906>.
Version: 2.0.2 Imports: Rcpp, RcppParallel, coda (≥ 0.19.3), Hmisc, parallel, doParallel, foreach, matrixStats LinkingTo: Rcpp, RcppArmadillo, RcppParallel Suggests: testthat, spelling, knitr, rmarkdown, latex2exp, ggplot2, rpart, rpart.plot, partykit Published: 2024-02-27 DOI: 10.32614/CRAN.package.bcf Author: Jared S. Murray [aut, cre], P. Richard Hahn [aut], Carlos Carvalho [aut], Peter Mariani [ctb], Constance Delannoy [ctb], Mariel Finucane [ctb], Lauren V. Forrow [ctb], Drew Herren [ctb] Maintainer: Jared S. Murray <jared.murray at mccombs.utexas.edu> License: GPL-3 NeedsCompilation: yes SystemRequirements: GNU make Language: en-US Citation: bcf citation info Materials: README NEWS CRAN checks: bcf resultsRetroSearch is an open source project built by @garambo | Open a GitHub Issue
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