Package: pencal
Title: Penalized Regression Calibration (PRC)
Version: 1.3.2
Authors@R: c(
    person("Mirko", "Signorelli", , "msignorelli.rpackages@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-8102-3356")),
    person("Pietro", "Spitali", , "p.spitali@lumc.nl", role = "ctb"),
    person("Roula", "Tsonaka", , "s.tsonaka@lumc.nl", role = "ctb")
  )
Description: 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>.
License: GPL-3
URL: https://mirkosignorelli.github.io/r
Depends: R (>= 4.1.0)
VignetteBuilder: knitr
Encoding: UTF-8
RoxygenNote: 7.2.2
Imports: doParallel, dplyr, foreach, glmnet, lcmm, magic, MASS, Matrix,
        methods, nlme, purrr, stats, survcomp, survival, survivalROC
Suggests: knitr, ptmixed, rmarkdown, survminer
NeedsCompilation: no
Packaged: 2022-12-15 11:49:40 UTC; ms
Author: Mirko Signorelli [aut, cre, cph]
    (<https://orcid.org/0000-0002-8102-3356>),
  Pietro Spitali [ctb],
  Roula Tsonaka [ctb]
Maintainer: Mirko Signorelli <msignorelli.rpackages@gmail.com>
Repository: CRAN
Date/Publication: 2022-12-15 15:40:02 UTC
Built: R 4.1.3; ; 2023-04-17 17:12:42 UTC; windows
