R Observatory: Metrics for BClustLonG version 0.1.3

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2025-12-25. Its history is shown below.

Reason: issues were not addressed in time

Details below reflect version 0.1.3, its last release before removal.

BClustLonG

0.1.3Package record

A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data

0packages depend

–downloads / year

–test coverage

–flavors OK

Overview

About

Maintained by Jiehuan SunCRAN page ↗

Many clustering methods have been proposed, but most of them cannot work for longitudinal gene expression data. 'BClustLonG' is a package that allows us to perform clustering analysis for longitudinal gene expression data. It adopts a linear-mixed effects framework to model the trajectory of genes over time, while clustering is jointly conducted based on the regression coefficients obtained from all genes. To account for the correlations among genes and alleviate the high dimensionality challenges, factor analysis models are adopted for the regression coefficients. The Dirichlet process prior distribution is utilized for the means of the regression coefficients to induce clustering. This package allows users to specify which variables to use for clustering (intercepts or slopes or both) and whether a factor analysis model is desired. More details about this method can be found in Jiehuan Sun, et al. (2017) doi:10.1002/sim.7374.

Install

R (source archive)

url <- "https://cran.r-project.org/src/contrib/Archive/BClustLonG/BClustLonG_0.1.3.tar.gz"
pkgFile <- "BClustLonG_0.1.3.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (0.1.3) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

Health

CRAN checks

CRAN check results are not tracked yet.

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 0.1.3

READMENoVignettesYes · 1 · dynamicNEWSNoCitation fileNoWebsitenot declared in DESCRIPTION

Help pages: 3
Examples that run: 100%3 run in a plain check
Exported functions with examples: 100%
Documented parameters: 65%
Return-value docs: 50%
Help pages citing references: 33%

How these are measured

Downloads

Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Also on348 r2u42 autocran39 c2d4u

How downloads are counted

Dependencies

Declared dependencies

6 external dependencies (excludes base and recommended)

Depends (4)

R >= 3.4.0MASSlme4 mcclust (>= 1.0)

Imports (1)

Rcpp

LinkingTo (2)

Rcpp RcppArmadillo

Suggests (2)

knitrlattice

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

How these are counted

Code & Tests

Datasets

People & History

People (5)

Jiehuan Sun

Author, Maintainer since 0.1.1 (2017)

Author

Author

Author

Author

Releases (3)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
archivedRemoved from CRAN
2025-12-25
issues were not addressed in time
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
R
R 4.1.0 released · 2021-05-18
0.1.3
record
2020-05-07 · diff ↗
R
R 4.0.0 released · 2020-04-24
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
0.1.2
record
2017-12-15 · diff ↗
0.1.1
record
2017-12-15
R
R 3.4.0 released · 2017-04-21

Package metadata

First published: 2017-12-15
Total releases: 3 / 9 yrs
License: GPL-2 OSI
Minimum R: ≥ 3.4.0
Bundled data: 21 KB / 1 file

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("BClustLonG")

Format

Sun, J., Herazo-Maya, J. D., Kaminski, N., Zhao, H., & Warren, J. L. (n.d.). BClustLonG: A Dirichlet Process Mixture Model for Clustering Longitudinal Gene Expression Data (Version 0.1.3) [Computer software]. Retrieved October 19, 2026, from https://CRAN.R-project.org/package=BClustLonG

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.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for BClustLonG version 0.1.3 [Data set]. HJJB, LLC. Data release v2026-10-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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