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icmm

1.2

Empirical Bayes Variable Selection via ICM/M Algorithm

0packages depend
2.2Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Vitara PungpapongFirst published 2017-07-273 releasesCRAN page ↗

Empirical Bayes variable selection via ICM/M algorithm for normal, binary logistic, and Cox's regression. The basic problem is to fit high-dimensional regression which sparse coefficients. This package allows incorporating the Ising prior to capture structure of predictors in the modeling process. More information can be found in the papers listed in the URL below.

Install

Health

CRAN checks
13OK
Slowest check: 1.0 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
1
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
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 67% structuredCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
not tracked
Return-value docs
not tracked
References docs
10%

Downloads

2.2K
CRAN downloads in the past year
Rank #19,747 · ~6/day · ~181/mo
Daily download trend is not available in this view yet.
12330 days
55890 days
2.2K1 year
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Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (0)
none
Imports (1)
LinkingTo (0)
none
Suggests (2)
MASSstats
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

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

3 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
  • R
    R 4.3.0 released · 2023-04-21
  • R
    R 4.2.0 released · 2022-04-22
  • 1.2Latest
    2021-05-26 · current release · diff ↗
  • R
    R 4.1.0 released · 2021-05-18
  • R
    R 4.0.0 released · 2020-04-24
  • R
    R 3.6.0 released · 2019-04-26
  • R
    R 3.5.0 released · 2018-04-23
  • 1.1
    2017-10-12 · diff ↗
  • 1.0
    2017-07-27
  • R
    R 3.4.0 released · 2017-04-21

Package metadata

First published
2017-07-27
Total releases
3 / 9 yrs
License
GPL (>= 2) OSI
Bundled data
913 KB / 7 files
Download size
924 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("icmm")
Pungpapong, V., Zhang, D., & Zhang, M. (2021). icmm: Empirical Bayes Variable Selection via ICM/M Algorithm (Version 1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.icmm

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 icmm version 1.2 [Data set]. HJJB, LLC. Data release v2026-08-21. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-21, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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