pencal

Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival

Installation

About

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 et al. (2021) doi:10.1002/sim.9178 and Signorelli (2023) doi:10.48550/arXiv.2309.15600.

Citation	pencal citation info
mirkosignorelli.github.io/r

Key Metrics

Version	2.2.1
R	≥ 4.1.0
Published	2024-03-31 28 days ago
Needs compilation?	no
License	GPL (≥ 3)
CRAN checks	pencal results

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Maintainer

Mirko Signorelli

msignorelli.rpackages@gmail.com

Authors

Mirko Signorelli	aut / cre / cph
Pietro Spitali	ctb
Roula Tsonaka	ctb
Barbara Vreede	ctb

Material

NEWS
Reference manual
Package source

Vignettes

pencal: an R Package for the Dynamic Prediction of Survival with Many Longitudinal Predictors

macOS

r-release	arm64
r-oldrel	arm64
r-release	x86_64

Windows

r-devel	x86_64
r-release	x86_64
r-oldrel	x86_64

Old Sources

pencal archive

Depends

≥ 4.1.0

Imports

doParallel
dplyr
foreach
glmnet
lcmm
magic
MASS
Matrix
methods
nlme
purrr
riskRegression
stats
survcomp
survival
survivalROC

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knitr
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