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ClusterVAR

0.0.8Package record

Fitting Latent Class Vector-Autoregressive (VAR) Models

0packages depend
3.1Kdownloads / year
61.8%test coverage
13/13flavors OK

Overview

About

Estimates latent class vector-autoregressive models via EM algorithm on time-series data for model-based clustering and classification. Includes model selection criteria for selecting the number of lags and clusters.

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.0.8
READMEYes · 43 wordsVignettesNoNEWSYes · 0% structuredCitation fileNoWebsitenot declared in DESCRIPTION
Help pages
11 (2 internal)
Examples that run
0%5 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
18%

Downloads

3.1K
CRAN downloads in the past year
Rank #12,929 · ~8/day · ~258/mo
Daily download trend is not available in this view yet.
33430 days
88390 days
3.1K1 year
Compare downloads with other packages →
Also on106 r2u6 autocran

Repository

3Stars
1Forks
0Open issues
0Open PRs
0Releases
203Commits
6Commit identities
clusteringlatent-class-modelmultivariate-timeseriestime-series-analysisvector-autoregression-modelsr-packagevector-autoregression
203 commits · Last activity 2026-06-22 · 0% stars, 30d · Default branch at 0.0.9, ahead of CRAN 0.0.8 (checked 2026-10-21)
Responsiveness
How these are sampled
PRs merged (all time)
100%
Median days to close, 50 most recently updated closed issues
2
Median days to close, 50 most recently updated closed PRs
25

Stars over time

2025-02-13 · 22026-07-07 · 3
PracticesBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/aniebee/clustervar on 2026-10-21.

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
10 external dependencies (excludes base and recommended)

Installing ClusterVAR adds 34 packages (14 with compiled code, 27 MB of source tarballs). Heaviest: stringi 11 MB, data.table 5.7 MB, parabar 1.3 MB.

Depends (0)
none
Imports (13)
statsutilsgraphicsgrDevicesfastDummiesMASSmvtnormscalesforeachparalleldoParallelparabariterators
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Datasets

People & History

People (2)
Author, Maintainer since 0.0.6 (2024)
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
  • 0.0.8Latest
    record
    2024-12-09 · current release · diff ↗
  • 0.0.7
    record
    2024-07-10 · diff ↗
  • 0.0.6
    record
    2024-06-06
  • R
    R 4.4.0 released · 2024-04-24

Package metadata

First published
2024-06-06
Total releases
3 / 2 yrs
License
GPL-2 OSI
Bundled data
1.2 MB / 2 files
Download size
1.2 MB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("ClusterVAR")
Ernst, A., & Haslbeck, J. (2024). ClusterVAR: Fitting Latent Class Vector-Autoregressive (VAR) Models (Version 0.0.8) [Computer software]. https://doi.org/10.32614/CRAN.package.ClusterVAR

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for ClusterVAR version 0.0.8 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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