R Observatory: Metrics for DPM.GGM version 0.14

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2011-11-25. Its history is shown below.

Details below reflect version 0.14, its last release before removal.

DPM.GGM

Dirichlet Process Mixtures (DPM) and related models using Gaussian Graphical Models (GGM) for Sparse covariance estimation in heterogeneous samples

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Alex LenkoskiCRAN page ↗

This package provides functions to estimate sparse covariance in heterogenous samples using Dirichlet Process Mixtures (DPMs) with Gaussian Graphical Model (GGM) kernel distributions.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/DPM.GGM/DPM.GGM_0.14.tar.gz"
pkgFile <- "DPM.GGM_0.14.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.14) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.14

READMENoVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 100%2 run in a plain check
Exported functions with examples: 50%
Documented parameters: 100%
Return-value docs: 50%
Help pages citing references: 50%

How these are measured

Downloads

DPM.GGM Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

How downloads are counted

Dependencies

Declared dependencies

0 external dependencies (excludes base and recommended)

Depends (2)

R >= 2.10lattice

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (2)

Alex Lenkoski

Contributor

Andreas Neudecker

Contributor

Maintainer since 0.13 (2011)

Releases (2)

Pick two releases to compare their code metrics.

R
R 2.15.0 released · 2012-03-30
0.14archived
2011-11-25 · diff ↗
0.14
record
2011-11-23 · diff ↗
0.13
record
2011-11-23
R
R 2.14.0 released · 2011-10-31

Package metadata

First published: 2011-11-23
Total releases: 2 / 15 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 2.10
Bundled data: 2.8 MB / 3 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DPM.GGM")

Format

Lenkoski, A., & Neudecker, A. (n.d.). DPM.GGM: Dirichlet Process Mixtures (DPM) and related models using Gaussian Graphical Models (GGM) for Sparse covariance estimation in heterogeneous samples (Version 0.14) [Computer software]. Retrieved October 27, 2026, from https://CRAN.R-project.org/package=DPM.GGM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

Cite the R Observatory

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

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DPM.GGM version 0.14 [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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