CRAN/E | frailtyMMpen

frailtyMMpen

Efficient Algorithm for High-Dimensional Frailty Model

Installation

About

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.

Key Metrics

Version 1.2.1
R ≥ 3.5.0
Published 2023-08-08 255 days ago
Needs compilation? yes
License GPL-2
License GPL-3
CRAN checks frailtyMMpen results

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Maintainer

Maintainer

Yunpeng Zhou

u3514104@connect.hku.hk

Authors

Xifen Huang

aut

Yunpeng Zhou

aut / cre

Jinfeng Xu

ctb

Material

README
NEWS
Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

frailtyMMpen archive

Depends

R ≥ 3.5.0
survival
numDeriv
mgcv

Imports

Rcpp ≥ 1.0.8
utils
graphics
stats

LinkingTo

Rcpp
RcppGSL