R Observatory: Metrics for Bestie version 0.1.5

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

Bestie

0.1.5

Bayesian Estimation of Intervention Effects

0packages depend

2.8Kdownloads / year

–test coverage

9/13checks pass

Overview

About

Maintained by Jack KuipersFirst published 2020-03-305 releasesCRAN page ↗

An implementation of intervention effect estimation for DAGs (directed acyclic graphs) learned from binary or continuous data. First, parameters are estimated or sampled for the DAG and then interventions on each node (variable) are propagated through the network (do-calculus). Both exact computation (for continuous data or for binary data up to around 20 variables) and Monte Carlo schemes (for larger binary networks) are implemented.

Install

R (CRAN)Ubuntu (r2u)

install.packages("Bestie", 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-bestie

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: 2.4 min · r-devel-windows-x86_64

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

3

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: 100%
Documented parameters: 100%
Return-value docs: 100%
References docs: 0%

Downloads

2.8K

CRAN downloads in the past year

Rank #13,278 · ~8/day · ~235/mo

Releases R versions

Daily download trend is not available in this view yet.

19330 days

76390 days

2.8K1 year

Compare downloads with other packages →

Also on365 r2u

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (0)

none

Imports (3)

BiDAG Rcpp mvtnorm

LinkingTo (1)

Rcpp

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (0)

Author records are not tracked yet for this package.

Listed in earlier versions (2)

Jack Kuipers

no longer listed · 0.1.1 to 0.1.5

Giusi Moffa

no longer listed · 0.1.1 to 0.1.5

Package Timeline

5 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
R
R 4.3.0 released · 2023-04-21
0.1.5Latest
2022-04-28 · current release · diff ↗
R
R 4.2.0 released · 2022-04-22
0.1.4
2022-02-02 · diff ↗
0.1.3
2021-11-22 · diff ↗
R
R 4.1.0 released · 2021-05-18
0.1.2
2021-02-26 · diff ↗
R
R 4.0.0 released · 2020-04-24
0.1.1
2020-03-30
R
R 3.6.0 released · 2019-04-26

Package metadata

First published: 2020-03-30
Total releases: 5 / 6 yrs
License: GPL-3 OSI
Download size: 10 KB
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("Bestie")

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 Bestie version 0.1.5 [Data set]. HJJB, LLC. Data release v2026-08-17. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-17, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →