pencal: Penalized Regression Calibration (PRC)

Computes the penalized regression calibration (PRC) method, that allows to predict survival using high-dimensional longitudinal predictors. PRC is described in Signorelli et al. (in review).

Version: 0.1.2
Depends: R (≥ 4.0.0)
Imports: foreach, doParallel, glmnet, nlme, survival, MASS, stats, survcomp, survivalROC, dplyr, ptmixed
Published: 2020-12-04
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
Materials: NEWS
CRAN checks: pencal results


Reference manual: pencal.pdf
Package source: pencal_0.1.2.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel: not available
macOS binaries: r-release: not available, r-oldrel: not available
Old sources: pencal archive


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