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. (in review, arXiv preprint: <arXiv:2101.04426>)).

Version: 0.4.2
Depends: R (≥ 4.0.0)
Imports: foreach, doParallel, glmnet, nlme, survival, MASS, stats, survcomp, survivalROC, dplyr, Matrix, magic, lcmm
Suggests: ptmixed, survminer, knitr, rmarkdown
Published: 2021-05-28
Author: Mirko Signorelli ORCID iD [aut, cre, cph], Pietro Spitali [ctb], Roula Tsonaka [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

Downloads:

Reference manual: pencal.pdf
Vignettes: An introduction to the R package pencal
Package source: pencal_0.4.2.tar.gz
Windows binaries: r-devel: pencal_0.4.2.zip, r-release: pencal_0.4.2.zip, r-oldrel: pencal_0.4.2.zip
macOS binaries: r-release (arm64): not available, r-release (x86_64): pencal_0.4.1.tgz, r-oldrel: not available
Old sources: pencal archive

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