Package: pencal
Title: Penalized Regression Calibration (PRC)
Version: 1.0.2
Authors@R: 
    c(person(given = "Mirko",
             family = "Signorelli",
             role = c("aut", "cre", "cph"),
             email = "msignorelli.rpackages@gmail.com",
             comment = c(ORCID = "0000-0002-8102-3356")),
      person(given = "Pietro",
             family = "Spitali",
             role = "ctb",
             email = "p.spitali@lumc.nl"),
      person(given = "Roula",
             family = "Tsonaka",
             role = "ctb",
             email = "s.tsonaka@lumc.nl"))
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: <doi:10.1002/sim.9178>)).
License: GPL-3
URL: https://mirkosignorelli.github.io/r
Depends: R (>= 4.0.0)
VignetteBuilder: knitr
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.1
Imports: foreach, doParallel, glmnet, nlme, survival, MASS, stats,
        survcomp, survivalROC, dplyr, Matrix, magic, lcmm
Suggests: ptmixed, survminer, knitr, rmarkdown
NeedsCompilation: no
Packaged: 2022-02-14 10:11:05 UTC; msignorelli
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: 2022-02-14 12:20:06 UTC
