RCTRecruit: Non-Parametric Recruitment Prediction for Randomized ClinicalTrials
Accurate prediction of subject recruitment for Randomized Clinical Trials (RCT) remains an ongoing challenge. Many previous prediction models rely on parametric assumptions. We present functions for non-parametric RCT recruitment prediction under several scenarios.
| Version: | 0.2.0 |
| Depends: | R (≥ 4.2.0) |
| Imports: | lubridate, methods,Rcpp |
| LinkingTo: | Rcpp |
| Suggests: | knitr,magrittr,testthat (≥ 3.0.0),withr |
| Published: | 2025-04-21 |
| DOI: | 10.32614/CRAN.package.RCTRecruit |
| Author: | Ioannis Malagaris [aut, cre, cph], Alejandro Villasante-Tezanos [aut], Christopher Kurinec [aut], Xiaoying Yu [aut] |
| Maintainer: | Ioannis Malagaris <iomalaga at utmb.edu> |
| BugReports: | https://github.com/imalagaris/RCTRecruit/issues |
| License: | MIT + fileLICENSE |
| URL: | https://github.com/imalagaris/RCTRecruit |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | RCTRecruit results |
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