Type: Package
Package: RCTRecruit
Title: Non-Parametric Recruitment Prediction for Randomized Clinical
        Trials
Version: 0.2.0
Authors@R: c(
    person("Ioannis", "Malagaris", , "iomalaga@utmb.edu", 
           role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0001-5126-2068")),
    person("Alejandro", "Villasante-Tezanos", , "alvillas@utmb.edu", role = "aut"),
    person("Christopher", "Kurinec", , "chkurine@utmb.edu", role = "aut"),
    person("Xiaoying", "Yu", , "xiyu@utmb.edu", role = "aut")
  )
Description: 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.
License: MIT + file LICENSE
Depends: R (>= 4.2.0)
Imports: lubridate, methods, Rcpp
LinkingTo: Rcpp
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
URL: https://github.com/imalagaris/RCTRecruit
BugReports: https://github.com/imalagaris/RCTRecruit/issues
Suggests: knitr, magrittr, testthat (>= 3.0.0), withr
Config/testthat/edition: 3
NeedsCompilation: yes
Packaged: 2025-04-21 18:13:56 UTC; ymala
Author: Ioannis Malagaris [aut, cre, cph]
    (<https://orcid.org/0000-0001-5126-2068>),
  Alejandro Villasante-Tezanos [aut],
  Christopher Kurinec [aut],
  Xiaoying Yu [aut]
Maintainer: Ioannis Malagaris <iomalaga@utmb.edu>
Repository: CRAN
Date/Publication: 2025-04-21 18:30:02 UTC
Built: R 4.6.0; x86_64-apple-darwin20; 2026-04-27 11:59:56 UTC; unix
Archs: RCTRecruit.so.dSYM
