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) <doi:10.21203/rs.3.rs-2559287/v1>.
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
NeedsCompilation: no
Packaged: 2023-03-29 02:47:01 UTC; lsh1901.47873
Repository: CRAN
Date/Publication: 2023-03-29 08:10:02 UTC
Built: R 4.2.0; ; 2023-03-30 13:36:49 UTC; unix
