pencal: Penalized Regression Calibration (PRC)

Computes penalized regression calibration (PRC), a statistical method that allows to predict survival from high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (2021) <doi:10.1002/sim.9178>.

Version: 1.3.2
Depends: R (≥ 4.1.0)
Imports: doParallel, dplyr, foreach, glmnet, lcmm, magic, MASS, Matrix, methods, nlme, purrr, stats, survcomp, survival, survivalROC
Suggests: knitr, ptmixed, rmarkdown, survminer
Published: 2022-12-15
Author: Mirko Signorelli ORCID iD [aut, cre, cph], Pietro Spitali [ctb], Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages at>
License: GPL-3
NeedsCompilation: no
Citation: pencal citation info
Materials: NEWS
CRAN checks: pencal results


Reference manual: pencal.pdf
Vignettes: An introduction to the R package pencal


Package source: pencal_1.3.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): pencal_1.3.2.tgz, r-oldrel (arm64): pencal_1.3.2.tgz, r-release (x86_64): pencal_1.3.2.tgz, r-oldrel (x86_64): pencal_1.3.2.tgz
Old sources: pencal archive


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