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BCClong

1.0.3

Bayesian Consensus Clustering for Multiple Longitudinal Features

0packages depend
2.2Kdownloads / year
73.0%test coverage
9/13checks pass

Overview

About
Maintained by Zhiwen TanFirst published 2023-01-134 releasesCRAN page ↗

It is very common nowadays for a study to collect multiple features and appropriately integrating multiple longitudinal features simultaneously for defining individual clusters becomes increasingly crucial to understanding population heterogeneity and predicting future outcomes. 'BCClong' implements a Bayesian consensus clustering (BCC) model for multiple longitudinal features via a generalized linear mixed model. Compared to existing packages, several key features make the 'BCClong' package appealing: (a) it allows simultaneous clustering of mixed-type (e.g., continuous, discrete and categorical) longitudinal features, (b) it allows each longitudinal feature to be collected from different sources with measurements taken at distinct sets of time points (known as irregularly sampled longitudinal data), (c) it relaxes the assumption that all features have the same clustering structure by estimating the feature-specific (local) clusterings and consensus (global) clustering.

Install

Health

CRAN checks
4ERROR9OK
Failing flavors
  • ERROR r-oldrel-macos-arm64
  • ERROR r-oldrel-macos-x86_64
  • ERROR r-release-macos-arm64
  • ERROR r-release-macos-x86_64
Slowest check: 8.0 min · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.11
73.0%
Coverage · measured lines
100%
Documentation · exports
19
Dependencies · direct
Check history
  • ERROR2026-03-10
    8 OK · 1 NOTE · 0 WARNING · 5 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesYes · dynamicpkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
93%
Return-value docs
100%
References docs
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #16,043 · ~6/day · ~185/mo
Daily download trend is not available in this view yet.
20430 days
65990 days
2.2K1 year
Compare downloads with other packages →
Also on490 r2u42 autocran

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.5.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

Datasets

People & History

People (3)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Contributors (2)
Contributor
Contributor
Package Timeline

4 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
  • 1.0.3Latest
    2024-06-24 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    2024-02-05 · diff ↗
  • 1.0.1
    2023-08-08 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    2023-01-13
  • R
    R 4.2.0 released · 2022-04-22

Package metadata

First published
2023-01-13
Total releases
4 / 3 yrs
License
MIT + file LICENSE OSI
Minimum R
≥ 3.5.0
Bundled data
3.2 MB / 9 files
Download size
4.0 MB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BCClong")
Tan, Z., Lu, Z., & Shen, C. (2024). BCClong: Bayesian Consensus Clustering for Multiple Longitudinal Features (Version 1.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.BCClong

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

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 BCClong version 1.0.3 [Data set]. HJJB, LLC. Data release v2026-08-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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