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 |