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clustervar

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.

https://github.com/aniebee/clustervar

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Scientific vocabulary similarity
    Low similarity (3.8%) to scientific vocabulary

Keywords

clustering latent-class-model multivariate-timeseries r-package time-series-analysis vector-autoregression vector-autoregression-models
Last synced: 9 months ago · JSON representation

Repository

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.

Basic Info
  • Host: GitHub
  • Owner: AnieBee
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 46.4 MB
Statistics
  • Stars: 2
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
clustering latent-class-model multivariate-timeseries r-package time-series-analysis vector-autoregression vector-autoregression-models
Created over 2 years ago · Last pushed over 1 year ago
Metadata Files
Readme Changelog

README.md

R-package clusterVAR

The package provides functions to estimate Latent Class Vector Autoregressive (VAR) models and perform model selection.

Ernst, A. F., Albers, C. J., Jeronimus, B. F., & Timmerman, M. E. (2020). Inter-individual differences in multivariate time-series. European Journal of Psychological Assessment.

Owner

  • Name: Anja Ernst
  • Login: AnieBee
  • Kind: user
  • Company: University of Groningen

Assistant Professor at the University of Groningen

GitHub Events

Total
  • Watch event: 1
  • Issue comment event: 3
  • Push event: 10
  • Pull request event: 2
  • Fork event: 1
Last Year
  • Watch event: 1
  • Issue comment event: 3
  • Push event: 10
  • Pull request event: 2
  • Fork event: 1

Issues and Pull Requests

Last synced: 10 months ago

All Time
  • Total issues: 0
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 24 days
  • Total issue authors: 0
  • Total pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: 24 days
  • Issue authors: 0
  • Pull request authors: 1
  • Average comments per issue: 0
  • Average comments per pull request: 1.0
  • Merged pull requests: 1
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • Beliavsky (1)
Pull Request Authors
  • mihaiconstantin (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads:
    • cran 176 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 3
  • Total maintainers: 1
cran.r-project.org: ClusterVAR

Fitting Latent Class Vector-Autoregressive (VAR) Models

  • Versions: 3
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 176 Last month
Rankings
Dependent packages count: 28.8%
Forks count: 28.8%
Dependent repos count: 35.4%
Stargazers count: 36.0%
Average: 42.9%
Downloads: 85.6%
Maintainers (1)
a.f.ernst@rug.nl
Last synced: 9 months ago

Dependencies

DESCRIPTION cran
  • MASS * imports
  • doParallel * imports
  • fastDummies * imports
  • foreach * imports
  • mvtnorm * imports
  • parallel * imports
  • scales * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 3.0.0 suggests