Package: netcox
Type: Package
Title: Structural Learning in Cox Models with Time-Dependent Covariates
Version: 1.0.1
Date: 2023-02-25
Authors@R: c(person("Yi", "Lian", role = c("aut", "cre"), email = "yi.lian@mail.mcgill.ca"),
             person("Guanbo", "Wang", role = c("aut")),
             person("Archer Y.", "Yang", role = c("aut")),
             person("Julien", "Mairal", role = c("ctb")))
Description: Efficient procedures for fitting and cross-validating the overlapping group Lasso (implemented in C++) for Cox models with time-dependent covariates. The penalty term is a weighted sum of infinity norms of (overlapping) groups of coefficients, which can select variables structurally with a specific grouping structure.
License: GPL (>= 3)
Encoding: UTF-8
Depends: R (>= 3.5.0), survival, glmnet
Imports: Rcpp (>= 1.0.10)
LinkingTo: Rcpp
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
RoxygenNote: 7.2.3
LazyData: true
Copyright: file inst/COPYRIGHTS
NeedsCompilation: yes
Packaged: 2023-02-27 01:14:01 UTC; YLIAN
Author: Yi Lian [aut, cre],
  Guanbo Wang [aut],
  Archer Y. Yang [aut],
  Julien Mairal [ctb]
Maintainer: Yi Lian <yi.lian@mail.mcgill.ca>
Repository: CRAN
Date/Publication: 2023-02-27 09:42:30 UTC
Built: R 4.2.0; x86_64-apple-darwin17.0; 2023-02-28 13:29:30 UTC; unix
Archs: netcox.so.dSYM
