Non-Parametric Recruitment Prediction for Randomized Clinical Trials R package RCTRecruit version 0.2.0 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. Software Depends: R (>= 4.2.0) Imports: lubridate, methods, Rcpp LinkingTo: Rcpp Suggests: knitr, magrittr, testthat (>= 3.0.0), withr Ioannis Malagaris <iomalaga@utmb.edu> Comprehensive R Archive Network (CRAN) Ioannis Malagaris [aut, cre, cph] (ORCID: <https://orcid.org/0000-0001-5126-2068>), Alejandro Villasante-Tezanos [aut], Christopher Kurinec [aut], Xiaoying Yu [aut] MIT + file LICENSE (https://CRAN.R-project.org/package=RCTRecruit/LICENSE) 2025-04-21 application/tgz https://CRAN.R-project.org/package=RCTRecruit doi:10.32614/CRAN.package.RCTRecruit