Package: RCTrep Type: Package Title: Validation of Estimates of Treatment Effects in Observational Data Version: 1.0.0 Authors@R: c(person("Lingjie", "Shen", role = c("aut", "cre", "cph"), email = "602249910@qq.com"), person("Gijs","Geleijnse", role = "aut", email = "g.geleijnse@iknl.nl"), person("Maurits","Kaptein", role = "aut", email = "M.C.Kaptein@tilburguniversity.edu")) Author: Lingjie Shen [aut, cre, cph], Gijs Geleijnse [aut], Maurits Kaptein [aut] Maintainer: Lingjie Shen <602249910@qq.com> Description: Validates estimates of (conditional) average treatment effects obtained using observational data by a) making it easy to obtain and visualize estimates derived using a large variety of methods (G-computation, inverse propensity score weighting, etc.), and b) ensuring that estimates are easily compared to a gold standard (i.e., estimates derived from randomized controlled trials). 'RCTrep' offers a generic protocol for treatment effect validation based on four simple steps, namely, set-selection, estimation, diagnosis, and validation. 'RCTrep' provides a simple dashboard to review the obtained results. The validation approach is introduced by Shen, L., Geleijnse, G. and Kaptein, M. (2023) . License: MIT + file LICENSE URL: https://github.com/duolajiang/RCTrep Encoding: UTF-8 LazyData: true Imports: mvtnorm, MASS, MatchIt, ggplot2, ggpubr, PSweight, numDeriv, R6, dplyr, geex, optmatch, BART, fastDummies, tidyr, copula, shiny, shinydashboard, glue, stats, utils, caret Suggests: rmarkdown, knitr, testthat (>= 3.0.0) Config/testthat/edition: 3 RoxygenNote: 7.1.2 VignetteBuilder: knitr Depends: R (>= 2.10), base Config/pak/sysreqs: cmake make libgsl0-dev libicu-dev libuv1-dev zlib1g-dev Repository: https://duolajiang.r-universe.dev Date/Publication: 2023-03-31 14:02:44 UTC RemoteUrl: https://github.com/duolajiang/rctrep RemoteRef: HEAD RemoteSha: 9b53d9ea2164afe630aca908d984e771043fcf05 NeedsCompilation: no Packaged: 2026-10-04 08:17:19 UTC; root