RCTrep: Validation of Estimates of Treatment Effects in Observational Data

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/v2>.

Version: 1.2.0
Depends: R (≥ 2.10), base
Imports: mvtnorm, MatchIt, ggplot2, ggpubr, PSweight, numDeriv, R6, dplyr, geex, BART, fastDummies, tidyr, copula, shiny, shinydashboard, glue, stats, utils, caret
Suggests: rmarkdown, knitr, testthat (≥ 3.0.0)
Published: 2023-11-02
DOI: 10.32614/CRAN.package.RCTrep
Author: Lingjie Shen [aut, cre, cph], Gijs Geleijnse [aut], Maurits Kaptein [aut]
Maintainer: Lingjie Shen <lingjieshen66 at gmail.com>
License: MIT + file LICENSE
URL: https://github.com/duolajiang/RCTrep
NeedsCompilation: no
Citation: RCTrep citation info
Materials: README NEWS
CRAN checks: RCTrep results


Reference manual: RCTrep.pdf
Vignettes: CTrep: An R package for replicating treatment effect estimates of a randomized control trial using observational data: A Vignette


Package source: RCTrep_1.2.0.tar.gz
Windows binaries: r-devel: RCTrep_1.2.0.zip, r-release: RCTrep_1.2.0.zip, r-oldrel: RCTrep_1.2.0.zip
macOS binaries: r-release (arm64): RCTrep_1.2.0.tgz, r-oldrel (arm64): RCTrep_1.2.0.tgz, r-release (x86_64): RCTrep_1.2.0.tgz, r-oldrel (x86_64): RCTrep_1.2.0.tgz
Old sources: RCTrep archive


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