R Observatory: Metrics for bayesWatch version 0.1.4

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

bayesWatch

0.1.4Package record

Bayesian Change-Point Detection for Process Monitoring with Fault Detection

0packages depend

3.2Kdownloads / year

–test coverage

11/13flavors OK

Overview

About

Maintained by Alexander C. MurphCRAN page ↗

Bayes Watch fits an array of Gaussian Graphical Mixture Models to groupings of homogeneous data in time, called regimes, which are modeled as the observed states of a Markov process with unknown transition probabilities. In doing so, Bayes Watch defines a posterior distribution on a vector of regime assignments, which gives meaningful expressions on the probability of every possible change-point. Bayes Watch also allows for an effective and efficient fault detection system that assesses what features in the data where the most responsible for a given change-point. For further details, see: Alexander C. Murph et al. (2023) doi:10.48550/arXiv.2310.02940.

Changes in 0.1.4

Minor updates required by CRAN

From NEWS.md in the release

Install

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

install.packages("bayesWatch", 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-bayeswatch

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-bayesWatch

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-bayesWatch

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

2NOTE11OK

Check messages

NOTERd contentsr-devel-linux-x86_64-debian-clang, r-devel-linux-x86_64-debian-gcc

Rd files without \usage:
  ‘plot.bayesWatch.Rd’ ‘print.bayesWatch.Rd’
\arguments should not be documented without \usage.

CRAN check page ↗

Slowest check: 5.2 min · r-devel-windows-x86_64

Status changes

NOTE11 OK, 2 NOTE2026-09-08
ERROR10 OK, 2 NOTE, 1 ERROR2026-09-07
NOTE12 OK, 1 NOTE2026-07-11
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08

Show 4 earlier changesHide 4 earlier changes

OK12 OK2026-04-25
NOTE12 OK, 2 NOTE2026-04-22
ERROR11 OK, 2 NOTE, 1 ERROR2026-04-18
NOTE12 OK, 2 NOTE2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.4

READMEYes · 256 wordsVignettesNoNEWSYes · 33% structured · mentions 0.1.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION

Help pages: 6
Examples that run: 100%2 run in a plain check
Exported functions with examples: 33%
Documented parameters: 99%
Return-value docs: 100%
Help pages citing references: 0%

How these are measured

Downloads

3.2K

CRAN downloads in the past year

Rank #11,783 · ~9/day · ~265/mo

Releases R versions

Daily download trend is not available in this view yet.

28330 days

92990 days

3.2K1 year

Compare downloads with other packages →

Also on520 r2u38 autocran

How downloads are counted

Dependencies

Declared dependencies

12 external dependencies (excludes base and recommended)

Installing bayesWatch adds 31 packages (16 with compiled code, 39 MB of source tarballs). Heaviest: BH 14 MB, ggplot2 6.0 MB, igraph 4.8 MB.

Depends (1)

R >= 3.5.0

Imports (12)

RcppparallelMatrixHotelling CholWishart ggplot2 gridExtra BDgraphmethodsMASSstatsess

LinkingTo (6)

Rcpp RcppArmadillo RcppEigenMatrixCholWishart BH

Suggests (0)

none

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 (4)

Alexander C. Murph

Author, Maintainer since 0.1.0 (2023)

Andrew Johnson

Contributor · added in 0.1.3

Alex Lenkoski

Contributor, Copyright holder

Reza Mohammadi

Contributor, Copyright holder

Releases (5)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
0.1.4Latest
record
2025-08-30 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
0.1.3
record
2024-01-27 · diff ↗
0.1.2
record
2023-11-20 · diff ↗
0.1.1
record
2023-11-05 · diff ↗
0.1.0
record
2023-10-23
R
R 4.3.0 released · 2023-04-21

Package metadata

First published: 2023-10-23
Total releases: 5 / 3 yrs
License: GPL-3 OSI
Copyright: See COPYRIGHTS in the package
Minimum R: ≥ 3.5.0
Bundled data: 14 KB / 3 files
Download size: 2.2 MB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("bayesWatch")

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 bayesWatch version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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