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pencal: Penalized Regression Calibration (PRC) for the Dynamic Prediction of Survival
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 (2024) <doi:10.48550/arXiv.2309.15600> and in Signorelli et al. (2021) <doi:10.1002/sim.9178>.
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Package details |
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| Author | Mirko Signorelli [aut, cre, cph] (<https://orcid.org/0000-0002-8102-3356>), Pietro Spitali [ctb], Roula Tsonaka [ctb], Barbara Vreede [ctb] |
| Maintainer | Mirko Signorelli <msignorelli.rpackages@gmail.com> |
| License | GPL (>= 3) |
| Version | 2.2.4 |
| URL | https://mirkosignorelli.github.io/r |
| Package repository | View on CRAN |
| Installation |
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