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BCClong

1.0.3Package record

Bayesian Consensus Clustering for Multiple Longitudinal Features

0packages dependsuggested by 1
2.5Kdownloads / year
73.0%test coverage
9/13flavors OK

Overview

About

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
Check messages
ERRORpackage dependenciesr-oldrel-macos-arm64, r-oldrel-macos-x86_64, r-release-macos-arm64, r-release-macos-x86_64
Package required but not available: ‘mixAK’

See section ‘The DESCRIPTION file’ in the ‘Writing R Extensions’
manual.

CRAN check page ↗

Slowest check: 7.7 min · r-devel-windows-x86_64
Status changes
  • ERROR9 OK, 4 ERRORNow
  • ERROR8 OK, 1 NOTE, 5 ERROR2026-03-10
Advisories

none known

Documentation

In release 1.0.3
READMENoVignettesYes · 2 · dynamicNEWSNoCitation fileYes · software entry onlyWebsitenot declared in DESCRIPTION
Help pages
16
Examples that run
100%16 run in a plain check
Exported functions with examples
100%
Documented parameters
93%
Return-value docs
100%
Help pages citing references
0%

Downloads

2.5K
CRAN downloads in the past year
Rank #17,385 · ~7/day · ~210/mo
Daily download trend is not available in this view yet.
26130 days
74090 days
2.5K1 year
Compare downloads with other packages →
Also on539 r2u34 autocran

Dependencies

Declared dependencies
22 external dependencies (excludes base and recommended)

Installing BCClong adds 48 packages (28 with compiled code, 41 MB of source tarballs). Heaviest: ggplot2 6.0 MB, lme4 4.3 MB, mclust 2.7 MB.

Depends (1)
R >= 3.5.0
LinkingTo (2)
Enhances (0)
none
Reverse dependencies
0direct
0indirect
Suggested by 1
Suggests, most downloaded first

Datasets

People & History

People (3)
Author, Maintainer since 1.0.0 (2023)
Contributor
Contributor
Releases (4)

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
  • 1.0.3Latest
    record
    2024-06-24 · current release · diff ↗
  • R
    R 4.4.0 released · 2024-04-24
  • 1.0.2
    record
    2024-02-05 · diff ↗
  • 1.0.1
    record
    2023-08-08 · diff ↗
  • R
    R 4.3.0 released · 2023-04-21
  • 1.0.0
    record
    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

Cite

Cite this package

Run in R for the authors' entry:

citation("BCClong")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.48550/arxiv.2210.08385.

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 v2026-10-24. 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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