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 |
| 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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