# -------------------------------------------- # CITATION file created with {cffr} R package # See also: https://docs.ropensci.org/cffr/ # -------------------------------------------- cff-version: 1.2.0 message: 'To cite package "RCTRecruit" in publications use:' type: software license: MIT title: 'RCTRecruit: Non-Parametric Recruitment Prediction for Randomized Clinical Trials' version: 0.1.24 doi: 10.32614/CRAN.package.RCTRecruit abstract: 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. authors: - family-names: Malagaris given-names: Ioannis email: iomalaga@utmb.edu orcid: https://orcid.org/0000-0001-5126-2068 - family-names: Villasante-Tezanos given-names: Alejandro email: alvillas@utmb.edu - family-names: Kurinec given-names: Christopher email: chkurine@utmb.edu - family-names: Yu given-names: Xiaoying email: xiyu@utmb.edu repository: https://imalagaris.r-universe.dev repository-code: https://github.com/imalagaris/RCTRecruit commit: 26c3538f645cd1fc906a489e04a32fbb6e99ac79 url: https://github.com/imalagaris/RCTRecruit contact: - family-names: Malagaris given-names: Ioannis email: iomalaga@utmb.edu orcid: https://orcid.org/0000-0001-5126-2068