[aut, cre, cph],
Pietro Spitali [ctb],
Roula Tsonaka [ctb]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
[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 |
| Materials: | NEWS |
| CRAN checks: | pencal results |
| Reference manual: | pencal.pdf |
| Package source: | pencal_0.1.2.tar.gz |
| Windows binaries: | r-devel: pencal_0.1.2.zip, r-release: pencal_0.1.2.zip, r-oldrel: not available |
| macOS binaries: | r-release: not available, r-oldrel: not available |
| Old sources: | pencal archive |
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