R Observatory: Metrics for BANAM version 0.2.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

BANAM

0.2.2Package record

Bayesian Analysis of the Network Autocorrelation Model

0packages depend

2.8Kdownloads / year

46.8%test coverage

13/13flavors OK

Overview

About

Maintained by Joris MulderCRAN page ↗

The network autocorrelation model (NAM) can be used for studying the degree of social influence regarding an outcome variable based on one or more known networks. The degree of social influence is quantified via the network autocorrelation parameters. In case of a single network, the Bayesian methods of Dittrich, Leenders, and Mulder (2017) DOI:10.1016/j.socnet.2016.09.002 and Dittrich, Leenders, and Mulder (2019) DOI:10.1177/0049124117729712 are implemented using a normal, flat, or independence Jeffreys prior for the network autocorrelation. In the case of multiple networks, the Bayesian methods of Dittrich, Leenders, and Mulder (2020) DOI:10.1177/0081175020913899 are implemented using a multivariate normal prior for the network autocorrelation parameters. Flat priors are implemented for estimating the coefficients. For Bayesian testing of equality and order-constrained hypotheses, the default Bayes factor of Gu, Mulder, and Hoijtink, (2018) DOI:10.1111/bmsp.12110 is used with the posterior mean and posterior covariance matrix of the NAM parameters based on flat priors as input.

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("BANAM", 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-banam

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

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

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-BANAM

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-BANAM

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.3 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-07-29
ERROR12 OK, 1 ERROR2026-07-27
OK13 OK2026-06-09

Show 2 earlier changesHide 2 earlier changes

ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.2.2

READMEYes · 124 wordsVignettesNoNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 4
Examples that run: 0%1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 100%
Return-value docs: 100%
Help pages citing references: 100%

How these are measured

Downloads

2.8K

CRAN downloads in the past year

Rank #15,577 · ~8/day · ~230/mo

Releases R versions

Daily download trend is not available in this view yet.

29430 days

78890 days

2.8K1 year

Compare downloads with other packages →

Also on84 r2u29 autocran

How downloads are counted

Dependencies

Declared dependencies

10 external dependencies (excludes base and recommended)

Installing BANAM adds 112 packages (61 with compiled code, 92 MB of source tarballs). Heaviest: BH 14 MB, stringi 11 MB, ggplot2 6.0 MB.

Depends (2)

R >= 3.0.0BFpack

Imports (10)

MatrixextraDistr matrixcalc mvtnorm rARPACK tmvtnormutilspsych sna bain

LinkingTo (0)

none

Suggests (1)

testthat

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (3)

Joris Mulder

Author, Maintainer since 0.2.0 (2024)

Dino Dittrich

Author, Contributor

Roger Leenders

Author, Contributor

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
R
R 4.5.0 released · 2025-04-11
0.2.2Latest
record
2024-12-03 · current release · diff ↗
0.2.1
record
2024-06-20 · diff ↗
0.2.0
record
2024-05-29
R
R 4.4.0 released · 2024-04-24

Package metadata

First published: 2024-05-29
Total releases: 3 / 2 yrs
License: GPL (>= 3) OSI
Minimum R: ≥ 3.0.0
Bundled data: 21 KB / 3 files
Download size: 532 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BANAM")

Format

Mulder, J., Dittrich, D., & Leenders, R. (2024). BANAM: Bayesian Analysis of the Network Autocorrelation Model (Version 0.2.2) [Computer software]. https://doi.org/10.32614/CRAN.package.BANAM

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 BANAM version 0.2.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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