R Observatory: Metrics for BiDAG version 2.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BiDAG

2.1.4

Bayesian Inference for Directed Acyclic Graphs

2packages depend

6.2Kdownloads / year

–test coverage

9/13checks pass

Overview

About

Maintained by Polina SuterFirst published 2017-07-1923 releasesCRAN page ↗

Implementation of a collection of MCMC methods for Bayesian structure learning of directed acyclic graphs (DAGs), both from continuous and discrete data. For efficient inference on larger DAGs, the space of DAGs is pruned according to the data. To filter the search space, the algorithm employs a hybrid approach, combining constraint-based learning with search and score. A reduced search space is initially defined on the basis of a skeleton obtained by means of the PC-algorithm, and then iteratively improved with search and score. Search and score is then performed following two approaches: Order MCMC, or Partition MCMC. The BGe score is implemented for continuous data and the BDe score is implemented for binary data or categorical data. The algorithms may provide the maximum a posteriori (MAP) graph or a sample (a collection of DAGs) from the posterior distribution given the data. All algorithms are also applicable for structure learning and sampling for dynamic Bayesian networks. References: J. Kuipers, P. Suter, G. Moffa (2022) doi:10.1080/10618600.2021.2020127, N. Friedman and D. Koller (2003) doi:10.1023/A:1020249912095, J. Kuipers and G. Moffa (2017) doi:10.1080/01621459.2015.1133426, M. Kalisch et al. (2012) doi:10.18637/jss.v047.i11, D. Geiger and D. Heckerman (2002) doi:10.1214/aos/1035844981, P. Suter, J. Kuipers, G. Moffa, N.Beerenwinkel (2023) doi:10.18637/jss.v105.i09.

Install

R (CRAN)Ubuntu (r2u)

install.packages("BiDAG", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-bidag

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled.

bspm (used by r2u) also needs make: sudo apt install make

Health

CRAN checks

4NOTE9OK

Failing flavors

NOTE r-devel-linux-x86_64-debian-clang
NOTE r-devel-linux-x86_64-debian-gcc
NOTE r-devel-linux-x86_64-fedora-clang
NOTE r-devel-linux-x86_64-fedora-gcc

Slowest check: 4.5 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

9

Dependencies · direct

Check history

NOTE2026-04-22
10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
ERROR2026-04-18
9 OK · 4 NOTE · 0 WARNING · 1 ERROR · 0 FAILURE
NOTE2026-03-10
10 OK · 4 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 80%
Documented parameters: 97%
Return-value docs: 97%
References docs: 28%

Downloads

6.2K

CRAN downloads in the past year

Rank #5,168 · ~17/day · ~520/mo

Releases R versions

Daily download trend is not available in this view yet.

43730 days

1.5K90 days

6.2K1 year

Compare downloads with other packages →

Also on450 r2u

Dependencies

Declared dependencies

7 external dependencies (excludes base and recommended)

Depends (1)

R >= 3.5.0

Imports (9)

Rcppmethodsgraph Rgraphviz RBGL pcalggraphicsMatrixcoda

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

2direct

0indirect

Bestie clustNet

Code & Tests

Datasets

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (3)

Jack Kuipers

no longer listed · 1.0.0 to 2.1.4

Polina Minkina

no longer listed · 1.0.0 to 1.0.1

Polina Suter

no longer listed · 1.0.2 to 2.1.4

Package Timeline

23 releases. Pick two to compare their code metrics. R releases are shown for context.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
2.1.4Latest
2023-05-16 · current release · diff ↗
R
R 4.3.0 released · 2023-04-21
2.1.3
2023-01-23 · diff ↗
2.1.2
2022-12-21 · diff ↗
2.1.1
2022-08-05 · diff ↗
2.1.0
2022-06-27 · diff ↗
2.0.9
2022-06-20 · diff ↗
2.0.7
2022-05-16 · diff ↗
2.0.6
2022-05-09 · diff ↗
R
R 4.2.0 released · 2022-04-22
2.0.5
2022-04-13 · diff ↗
2.0.4
2021-11-30 · diff ↗
2.0.3
2021-07-28 · diff ↗

Show 17 earlier events

R
R 4.1.0 released · 2021-05-18
2.0.2
2021-04-30 · diff ↗
2.0.1
2021-04-28 · diff ↗
2.0.0
2021-02-15 · diff ↗
1.4.1
2020-07-14 · diff ↗
R
R 4.0.0 released · 2020-04-24
1.3.4
2020-04-12 · diff ↗
1.3.0
2020-02-19 · diff ↗
1.2.0
2019-08-19 · diff ↗
R
R 3.6.0 released · 2019-04-26
1.1.2
2018-05-24 · diff ↗
R
R 3.5.0 released · 2018-04-23
1.1.1
2018-03-16 · diff ↗
1.0.2
2017-09-08 · diff ↗
1.0.1
2017-07-26 · diff ↗
1.0.0
2017-07-19
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-07-19
Total releases: 23 / 9 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Bundled data: 915 KB / 13 files
Download size: 1.0 MB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BiDAG")

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 BiDAG version 2.1.4 [Data set]. HJJB, LLC. Data release v2026-08-16. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-16, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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