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PJFM

0.1.0

Variational Inference for High-Dimensional Joint Frailty Model

0packages depend
6.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Jiehuan SunFirst published 2024-11-061 releasesCRAN page ↗

Joint frailty models have been widely used to study the associations between recurrent events and a survival outcome. However, existing joint frailty models only consider one or a few recurrent events and cannot deal with high-dimensional recurrent events. This package can be used to fit our recently developed penalized joint frailty model that can handle high-dimensional recurrent events. Specifically, an adaptive lasso penalty is imposed on the parameters for the effects of the recurrent events on the survival outcome, which allows for variable selection. Also, our algorithm is computationally efficient, which is based on the Gaussian variational approximation method.

Install

Health

CRAN checks
13OK
Slowest check: 3.4 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
5
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-04-22
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • ERROR2026-04-18
    11 OK · 2 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
Show 1 earlier snapshots
  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
50%

Downloads

6.2K
CRAN downloads in the past year
Rank #7,064 · ~17/day · ~513/mo
Daily download trend is not available in this view yet.
14130 days
1.3K90 days
6.2K1 year
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Also on377 r2u7 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
Imports (5)
Suggests (1)
splines
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.0Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2024-11-06
Total releases
1 / 2 yrs
License
GPL-2 OSI
Minimum R
≥ 3.6.0
Bundled data
444 KB / 1 file
Download size
475 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("PJFM")
Sun, J. (2024). PJFM: Variational Inference for High-Dimensional Joint Frailty Model (Version 0.1.0) [Computer software]. https://doi.org/10.32614/CRAN.package.PJFM

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 PJFM version 0.1.0 [Data set]. HJJB, LLC. Data release v2026-08-07. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-07, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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