Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. See Signorelli (2024) <doi:10.32614/RJ-2024-014> and Signorelli et al. (2021) <doi:10.1002/sim.9178> for details.
Version: 2.3.0 Depends: R (≥ 4.2.0) Imports: doParallel, dplyr, foreach, glmnet, lcmm, magic, MASS, Matrix, methods, nlme, purrr, riskRegression, stats, survcomp, survival, survivalROC Suggests: knitr, ptmixed, rmarkdown, survminer Published: 2025-06-05 DOI: 10.32614/CRAN.package.pencal Author: Mirko Signorelli [aut, cre, cph], Pietro Spitali [ctb], Roula Tsonaka [ctb], Barbara Vreede [ctb] Maintainer: Mirko Signorelli <msignorelli.rpackages at gmail.com> License: GPL (≥ 3) URL: https://mirkosignorelli.github.io/r NeedsCompilation: no Citation: pencal citation info Materials: NEWS CRAN checks: pencal results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=pencal to link to this page.
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