R Observatory: Metrics for sparsebn version 0.1.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2022-03-22. Its history is shown below.

Reason: check problems were not corrected in time. 'length > 1 in coercion to logical' error

Details below reflect version 0.1.2, its last release before removal.

sparsebn

0.1.2Package record

Learning Sparse Bayesian Networks from High-Dimensional Data

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Bryon AragamCRAN page ↗GitHub ↗

Fast methods for learning sparse Bayesian networks from high-dimensional data using sparse regularization, as described in Aragam, Gu, and Zhou (2017) arXiv:1703.04025. Designed to handle mixed experimental and observational data with thousands of variables with either continuous or discrete observations.

Changes in 0.1.2

Bug fixes

Fixed an issue with the intervention list for the continuous cytometry data (no changes to the dataset)

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/sparsebn/sparsebn_0.1.2.tar.gz"
pkgFile <- "sparsebn_0.1.2.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 (0.1.2) 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/sparsebn")

Development version from itsrainingdata/sparsebn. 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 0.1.2

READMEYes · 317 wordsVignettesYes · 1 · dynamicNEWSYes · 100% structured · mentions 0.1.2Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 7includes a package overview page
Examples that run: 100%5 run in a plain check
Exported functions with examples: 67%
Documented parameters: 100%
Return-value docs: 67%
Help pages citing references: 43%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on7 autocran1.3K conda_forge134 c2d4u

How downloads are counted

Dependencies

Declared dependencies

9 external dependencies (excludes base and recommended)

Depends (4)

R >= 3.2.3sparsebnUtils ccdrAlgorithm (>= 0.0.4)discretecdAlgorithm

Imports (0)

none

LinkingTo (0)

none

Suggests (6)

knitr rmarkdown mvtnorm igraph graph testthat

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 (4)

Bryon Aragam

Author, Maintainer since 0.0.1 (2016)

Jiaying Gu

Author · added in 0.0.5

Dacheng Zhang

Author · added in 0.0.5

Qing Zhou

Author · added in 0.0.5

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.2.0 released · 2022-04-22
archivedRemoved from CRAN
2022-03-22
check problems were not corrected in time 'length > 1 in coercion to logical' error
R
R 4.1.0 released · 2021-05-18
0.1.2
record
2020-09-13 · diff ↗
0.1.1
record
2020-09-10 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.0
record
2019-11-04 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.0.5
record
2017-09-12 · diff ↗
R
R 3.4.0 released · 2017-04-21
0.0.4
record
2017-03-16 · diff ↗
0.0.3
record
2017-03-11 · diff ↗
0.0.2
record
2016-11-28 · diff ↗ ·
added 1 export
plotDAG
0.0.1
record
2016-08-19
R
R 3.3.0 released · 2016-05-03

Package metadata

First published: 2016-08-19
Total releases: 8 / 10 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.2.3
Bundled data: 953 KB / 3 files

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparsebn")

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for sparsebn version 0.1.2 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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