Package: frailtyMMpen
Type: Package
Title: Efficient Algorithm for High-Dimensional Frailty Model
Version: 1.2.1
Authors@R: c(person(given = "Xifen",
                    family = "Huang",
                    role = c("aut")),
             person(given = "Yunpeng",
                    family = "Zhou",
                    role = c("aut", "cre"),
                    email = "u3514104@connect.hku.hk"),
             person(given = "Jinfeng",
                    family = "Xu",
                    role = c("ctb")))
Maintainer: Yunpeng Zhou <u3514104@connect.hku.hk>
Description: The penalized and non-penalized Minorize-Maximization (MM) method for frailty models to fit the clustered data, multi-event data and recurrent data. Least absolute shrinkage and selection operator (LASSO), minimax concave penalty (MCP) and smoothly clipped absolute deviation (SCAD) penalized functions are implemented. All the methods are computationally efficient. These general methods are proposed based on the following papers,
    Huang, Xu and Zhou (2022) <doi:10.3390/math10040538>,
    Huang, Xu and Zhou (2023) <doi:10.1177/09622802221133554>.
License: GPL (>= 2)
Encoding: UTF-8
LazyData: false
Depends: R (>= 3.5.0), survival, numDeriv, mgcv
Imports: Rcpp (>= 1.0.8), utils, graphics, stats
LinkingTo: Rcpp, RcppGSL
RoxygenNote: 7.2.3
NeedsCompilation: yes
Packaged: 2023-08-08 07:51:11 UTC; micha
Author: Xifen Huang [aut],
  Yunpeng Zhou [aut, cre],
  Jinfeng Xu [ctb]
Repository: CRAN
Date/Publication: 2023-08-08 09:10:02 UTC
Built: R 4.5.3; x86_64-w64-mingw32; 2026-04-29 03:03:30 UTC; windows
Archs: x64
