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Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. PRC is described in Signorelli (2024) <doi:10.48550/arXiv.2309.15600> and in Signorelli et al. (2021) <doi:10.1002/sim.9178>.
Version: | 2.2.2 |
Depends: | R (≥ 4.1.0) |
Imports: | doParallel, dplyr, foreach, glmnet, lcmm, magic, MASS, Matrix, methods, nlme, purrr, riskRegression, stats, survcomp, survival, survivalROC |
Suggests: | knitr, ptmixed, rmarkdown, survminer |
Published: | 2024-06-12 |
DOI: | 10.32614/CRAN.package.pencal |
Author: | Mirko Signorelli |
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 |
Reference manual: | pencal.pdf |
Vignettes: |
pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors |
Package source: | pencal_2.2.2.tar.gz |
Windows binaries: | r-devel: pencal_2.2.2.zip, r-release: pencal_2.2.2.zip, r-oldrel: pencal_2.2.2.zip |
macOS binaries: | r-release (arm64): pencal_2.2.2.tgz, r-oldrel (arm64): pencal_2.2.2.tgz, r-release (x86_64): pencal_2.2.2.tgz, r-oldrel (x86_64): pencal_2.2.2.tgz |
Old sources: | pencal archive |
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