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cff-version: 1.2.0
message: 'To cite package "frailtyMMpen" in publications use:'
type: software
license: GPL-2.0-or-later
title: 'frailtyMMpen: Efficient Algorithm for High-Dimensional Frailty Model'
version: 1.2.1
doi: 10.32614/CRAN.package.frailtyMMpen
abstract: 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) <https://doi.org/10.3390/math10040538>, Huang,
  Xu and Zhou (2023) <https://doi.org/10.1177/09622802221133554>.
authors:
- family-names: Huang
  given-names: Xifen
- family-names: Zhou
  given-names: Yunpeng
  email: u3514104@connect.hku.hk
repository: https://CRAN.R-project.org/package=frailtyMMpen
date-released: '2023-08-08'
contact:
- family-names: Zhou
  given-names: Yunpeng
  email: u3514104@connect.hku.hk