CRAN . RSTUDIO . COM {
}
Title:
CRAN: Package pencal
Description:
Computes penalized regression calibration (PRC), a statistical method for the dynamic prediction of survival when many longitudinal predictors are available. See Signorelli (2024) <<a href="https://doi.org/10.32614%2FRJ-2024-014" target="_top">doi:10.32614/RJ-2024-014</a>> and Signorelli et al. (2021) <<a href="https://doi.org/10.1002%2Fsim.9178" target="_top">doi:10.1002/sim.9178</a>> for details.
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27 years and 1 months (reg. 1998-05-15).
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Keywords {🔍}
pencal, survival, signorelli, pencaltgz, dynamic, prediction, ctb, pencalzip, rrelease, roldrel, penalized, regression, calibration, prc, longitudinal, predictors, mirko, citation, package, source, binaries, arm, computes, statistical, method, doirj, doisim, details, version, depends, imports, doparallel, dplyr, foreach, glmnet, lcmm, magic, mass, matrix, methods, nlme, purrr, riskregression, stats, survcomp, survivalroc, suggests, knitr, ptmixed, rmarkdown,
Topics {✒️}
penalized regression calibration pietro spitali [ctb] roula tsonaka [ctb] gz windows binaries pencal results documentation pencal archive linking canonical form https news cran checks zip macos binaries org/package=pencal pencal author dynamic prediction statistical method longitudinal predictors survivalroc suggests survminer published reference manual pdf vignettes r-devel r-release r-oldrel r-project package source citation pencal survival signorelli https package 32614/cran zip //cran source prc al 1002/sim details version 0 depends imports doparallel dplyr foreach glmnet lcmm magic mass matrix methods nlme
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