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: |
1.2.2 |
| Depends: |
R (≥ 4.0.0) |
| Imports: |
doParallel, glmnet, foreach, nlme, lcmm, survival, survcomp, survivalROC, stats, MASS, dplyr, purrr, Matrix, magic |
| Suggests: |
survminer, ptmixed, knitr, rmarkdown |
| Published: |
2022-07-20 |
| Author: |
Mirko Signorelli 
[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 |