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porridge

0.3.3Package record

Ridge-Type Penalized Estimation of a Potpourri of Models

0packages depend
3Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

The name of the package is derived from the French, 'pour' ridge, and provides functionality for ridge-type estimation of a potpourri of models. Currently, this estimation concerns that of various Gaussian graphical models from different study designs. Among others it considers the regular Gaussian graphical model and a mixture of such models. The porridge-package implements the estimation of the former either from i) data with replicated observations by penalized loglikelihood maximization using the regular ridge penalty on the parameters (van Wieringen, Chen, 2021) or ii) from non-replicated data by means of either a ridge estimator with multiple shrinkage targets (as presented in van Wieringen et al. 2020, doi:10.1016/j.jmva.2020.104621) or the generalized ridge estimator that allows for both the inclusion of quantitative and qualitative prior information on the precision matrix via element-wise penalization and shrinkage (van Wieringen, 2019, doi:10.1080/10618600.2019.1604374). Additionally, the porridge-package facilitates the ridge penalized estimation of a mixture of Gaussian graphical models (Aflakparast et al., 2018). On another note, the package also includes functionality for ridge-type estimation of the generalized linear model (as presented in van Wieringen, Binder, 2022, doi:10.1080/10618600.2022.2035231).

Install

Health

CRAN checks
13OK
Slowest check: 3.8 min · r-devel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK12 OK2026-04-25
  • NOTE12 OK, 2 NOTE2026-04-22
  • ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
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  • NOTE12 OK, 2 NOTE2026-03-10
Advisories

none known

Documentation

In release 0.3.3
READMENoVignettesNoNEWSYes · does not mention 0.3.3Citation fileYes · cites a publicationWebsiteYes
Help pages
22includes a package overview page
Examples that run
100%21 run in a plain check
Exported functions with examples
100%
Documented parameters
not tracked
Return-value docs
not tracked
Help pages citing references
95%

Downloads

3K
CRAN downloads in the past year
Rank #10,915 · ~8/day · ~253/mo
Daily download trend is not available in this view yet.
44130 days
97790 days
3K1 year
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Also on350 r2u4 autocran

Dependencies

Declared dependencies
6 external dependencies (excludes base and recommended)

Installing porridge adds 4 packages (3 with compiled code, 4.2 MB of source tarballs). Heaviest: Rcpp 1.8 MB, RcppArmadillo 1.0 MB, mvtnorm 1.0 MB.

Depends (1)
R >= 3.5.0
Imports (7)
MASSMatrixstatsmvtnormRcppmethodspracma
LinkingTo (2)
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (2)
Author, Maintainer since 0.0.1 (2019)
Contributor
part of the R-code of the mixture functionality
Releases (12)

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Package metadata

First published
2019-11-01
Total releases
12 / 7 yrs
License
GPL (>= 2) OSI
Minimum R
≥ 3.5.0
Download size
54 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("porridge")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

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 porridge version 0.3.3 [Data set]. HJJB, LLC. Data release v2026-10-26. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-26, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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