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, arXiv preprint: <doi:10.1002/sim.9178>)).

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>)).

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>)).

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")
)
doParallel, glmnet, foreach, nlme, survival, MASS, stats,
survcomp, survivalROC, dplyr, Matrix, magic, lcmm

doParallel, glmnet, foreach, nlme, lcmm, survival, survcomp,
survivalROC, stats, MASS, dplyr, purrr, Matrix, magic

Flexible Copula Density Estimation with Penalized Hierarchical
B-Splines
R (>= 2.8.0), lattice, fda, quadprog, spam
Flexible copula density estimation with penalized
hierarchical B-Splines.

R (>= 2.11.0), lattice, fda, quadprog, spam, latticeExtra

R (>= 2.11.0), lattice, fda, quadprog, spam, latticeExtra,
MASS

R (>= 2.15.1), lattice, fda, quadprog, latticeExtra
Flexible copula density estimation with penalized hierarchical B-Splines.

Estimating Non-Simplified Vine Copulas Using Penalized Splines
R (>= 3.1.1), lattice, fda, latticeExtra, pacotest
quadprog, doParallel, foreach, TSP, igraph
Estimating Non-Simplified Vine Copulas Using Penalized Splines.

Density Estimation with a Penalized Mixture Approach

Estimation of univariate (conditional) densities using penalized B-splines with automatic selection of optimal smoothing parameter.