R Observatory: Metrics for ccdrAlgorithm version 0.0.6

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2022-08-14. Its history is shown below.

Reason: repeated policy violation. Spamming CRAN team members' personal email addresses, repeatedly

Details below reflect version 0.0.6, its last release before removal.

ccdrAlgorithm

0.0.6Package record

CCDr Algorithm for Learning Sparse Gaussian Bayesian Networks

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Bryon AragamCRAN page ↗GitHub ↗

Implementation of the CCDr (Concave penalized Coordinate Descent with reparametrization) structure learning algorithm as described in Aragam and Zhou (2015) https://www.jmlr.org/papers/v16/aragam15a.html. This is a fast, score-based method for learning Bayesian networks that uses sparse regularization and block-cyclic coordinate descent.

Changes in 0.0.6

Notes

Minor patch to fix failing CRAN check

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/ccdrAlgorithm/ccdrAlgorithm_0.0.6.tar.gz"
pkgFile <- "ccdrAlgorithm_0.0.6.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 (0.0.6) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("itsrainingdata/ccdrAlgorithm")

Development version from itsrainingdata/ccdrAlgorithm. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.0.6

READMEYes · 222 wordsVignettesNoNEWSYes · 100% structured · mentions 0.0.6Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 3includes a package overview page
Examples that run: 100%2 run in a plain check
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 50%
Help pages citing references: 0%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on278 r2u3 autocran2.9K conda_forge126 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.2.3

Imports (4)

sparsebnUtils Rcppstatsutils

LinkingTo (1)

Rcpp

Suggests (4)

testthat graph igraphMatrix

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (2)

Bryon Aragam

Author, Maintainer since 0.0.1 (2016)

Dacheng Zhang

Author · added in 0.0.2

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.3.0 released · 2023-04-21
archivedRemoved from CRAN
2022-08-14
repeated policy violation Spamming CRAN team members' personal email addresses, repeatedly
R
R 4.2.0 released · 2022-04-22
0.0.6
record
2022-04-12 · 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
0.0.5
record
2018-06-01 · diff ↗
R
R 3.5.0 released · 2018-04-23
0.0.4
record
2017-09-11 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.0.3
record
2017-03-10 · diff ↗ ·
added 1 export
generate_mvn_data
0.0.2
record
2016-11-20 · diff ↗
0.0.1
record
2016-08-10
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-08-10
Total releases: 6 / 10 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.2.3

Cite

Cite this package

Run in R for the authors' entry:

citation("ccdrAlgorithm")

The package provides a citation file, so citation() returns the authors' own entry.

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 ccdrAlgorithm version 0.0.6 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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