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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 |
Please use the canonical form https://CRAN.R-project.org/package=RCTrep to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.