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: 2026-10-10 16:19:37 UTC; root
Author: Xifen Huang [aut], Yunpeng Zhou [aut, cre], Jinfeng Xu [ctb]
Repository: https://cran.r-universe.dev
Date/Publication: 2023-08-08 10:31:29 UTC
RemoteUrl: https://github.com/cran/frailtyMMpen
RemoteRef: HEAD
RemoteSha: a1d0a64d78951494b3ef1320e9860821a6562f8a