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 + file LICENSE URL: https://github.com/imalagaris/RCTRecruit NeedsCompilation: yes Materials: README NEWS CRAN checks: RCTRecruit results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=RCTRecruit to link to this page.
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