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frailtyMMpen

1.2.1

Efficient Algorithm for High-Dimensional Frailty Model

0packages depend
2.7Kdownloads / year
test coverage
0/13checks pass

Overview

About
Maintained by Yunpeng ZhouFirst published 2023-03-244 releasesCRAN page ↗

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.

Install

Health

CRAN checks
13NOTE
Failing flavors
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Slowest check: 3.4 min · r-devel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
7
Dependencies · direct
Check history
  • NOTE2026-06-09
    0 OK · 13 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • WARNING2026-06-08
    0 OK · 12 NOTE · 1 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    0 OK · 13 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
  • NOTE2026-03-10
    0 OK · 14 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMEYes · 189 wordsVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
78%
Documented parameters
100%
Return-value docs
100%
References docs
13%

Downloads

2.7K
CRAN downloads in the past year
Rank #14,643 · ~7/day · ~225/mo
Daily download trend is not available in this view yet.
16530 days
70990 days
2.7K1 year
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Also on422 r2u

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)
Depends (4)
R >= 3.5.0survivalnumDerivmgcv
Imports (4)
Rcpputilsgraphicsstats
LinkingTo (2)
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (2)
Author, Maintainer
Contributors (1)
Contributor
Package Timeline

4 releases. Pick two to compare their code metrics. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • R
    R 4.4.0 released · 2024-04-24
  • 1.2.1Latest
    2023-08-08 · current release · diff ↗
  • 1.1.2
    2023-07-07 · diff ↗
  • 1.1.1
    2023-07-06 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2023-03-24
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-03-24
Total releases
4 / 3 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Bundled data
627 KB / 4 files
Download size
1.1 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("frailtyMMpen")
Zhou, Y., Huang, X., & Xu, J. (2023). frailtyMMpen: Efficient Algorithm for High-Dimensional Frailty Model (Version 1.2.1) [Computer software]. https://doi.org/10.32614/CRAN.package.frailtyMMpen

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for frailtyMMpen version 1.2.1 [Data set]. HJJB, LLC. Data release v2026-08-15. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-15, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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