R Observatory: Metrics for sparsebnUtils version 0.0.8

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2024-04-12. Its history is shown below.

Reason: issues were not corrected despite reminders

Details below reflect version 0.0.8, its last release before removal.

sparsebnUtils

0.0.8Package record

Utilities for Learning Sparse Bayesian Networks

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Bryon AragamCRAN page ↗GitHub ↗

A set of tools for representing and estimating sparse Bayesian networks from continuous and discrete data, as described in Aragam, Gu, and Zhou (2017) arXiv:1703.04025.

Changes in 0.0.8

Fixed an issue in Matrix_to_sparse related to a bug fix / API change in Matrix v1.3-0

From NEWS.md in the release

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/sparsebnUtils/sparsebnUtils_0.0.8.tar.gz"
pkgFile <- "sparsebnUtils_0.0.8.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 (0.0.8) 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/sparsebnUtils")

Development version from itsrainingdata/sparsebnUtils. 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 0.0.8

READMEYes · 102 wordsVignettesNoNEWSYes · 100% structured · mentions 0.0.8Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Cites a JSS article

Help pages: 43includes a package overview page
Examples that run: 50%3 run in a plain check · 3 never run
Exported functions with examples: 15%
Documented parameters: 100%
Return-value docs: 35%
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 on39 r2u4 autocran1.2K conda_forge118 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.2.3

Imports (5)

Matrixstatsutilsmethodsnnet

LinkingTo (0)

none

Suggests (6)

bnlearn graph igraph network RCy3 testthat

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)

Jiaying Gu

Author · added in 0.0.2

Releases (8)

Pick two releases to compare their code metrics.

R
R 4.4.0 released · 2024-04-24
archivedRemoved from CRAN
2024-04-12
issues were not corrected despite reminders
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.0.8
record
2021-01-27 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.0.7
record
2019-05-29 · diff ↗
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.0.6
record
2018-03-16 · diff ↗
0.0.5
record
2017-09-09 · diff ↗ ·
added 4 exports
degrees, invalid_type_input, openCytoscape, specify.prior
R
R 3.4.0 released · 2017-04-21
0.0.4
record
2017-03-09 · diff ↗ ·
removed 1 export
cor_vector

added 4 exports
check_if_numeric_data, data_not_numeric, permute.nodes, random.graph
0.0.3
record
2016-11-20 · diff ↗ ·
removed 4 exports
as.sparsebnData, as.sparsebnFit, as.sparsebnPath, random.psd

added 5 exports
cor_vector_ivn, get.nodes, pmatch_numeric, random.spd, select
0.0.2
record
2016-08-05 · diff ↗ ·
removed 4 exports
estimate.covariance, estimate.precision, fit_dag, lambda.grid

added 24 exports
auto_generate_levels, check_list_numeric, check_na, check_null, coerce_discrete, convert_factor_to_discrete, dag_summary, default_alpha, default_max_iters, empty_dag_summary, feature_not_supported, fit_glm_dag, fit_multinom_dag, get.lambdas, get.solution, invalid_class, pick_family, random.dag, random.psd, recode_levels, resetGraphPackage, select.parameter, show.parents, to_bn

Show 3 earlier eventsHide 3 earlier events

R
R 3.3.0 released · 2016-05-03
0.0.1
record
2016-04-29
R
R 3.2.0 released · 2015-04-16

Package metadata

First published: 2016-04-29
Total releases: 8 / 10 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.2.3

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("sparsebnUtils")

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 sparsebnUtils version 0.0.8 [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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