Variable Selection for Gaussian Model-Based Clustering
Overview
Variable selection for Gaussian model-based clustering as implemented in the 'mclust' package. The methodology allows to find the (locally) optimal subset of variables in a data set that have group/cluster information. A greedy or headlong search can be used, either in a forward-backward or backward-forward direction, with or without sub-sampling at the hierarchical clustering stage for starting 'mclust' models. By default the algorithm uses a sequential search, but parallelisation is also available.
- Explicitly uses current value of
mclust.options("hcUse")for initializing the EM iterative estimation process. - Fixed anchors in Rd
\link{}targets that were not within the package, addressing CRAN requirements.
From NEWS.md in the release
Install
Health
- OK13 OK2026-08-05
- NOTE12 OK, 1 NOTE2026-08-01
- OK14 OK2026-03-10
Documentation
- Help pages
- 2 (1 internal)
- Examples that run
- 100%1 run in a plain check
- Exported functions with examples
- 50%
- Documented parameters
- 47%
- Return-value docs
- 50%
- Help pages citing references
- 50%
Downloads
Dependencies
Installing clustvarsel adds 11 packages (7 with compiled code, 8.1 MB of source tarballs). Heaviest: mclust 2.7 MB, robustbase 2.2 MB, rrcov 1.5 MB.
Code & Tests
People & History
Previously maintained by Nema Dean (1.0 to 1.3).
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- RR 3.3.0 released · 2016-05-03
- 2.22015-11-19 · diff ↗
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- 2.12014-10-15 · diff ↗ ·
removed 1 export
pattern:^[^\\.]added 8 exports
clustvarsel, print.clustvarsel, clvarselgrfwd, clvarselgrbkw, clvarselhlfwd, clvarselhlbkw, BICreg, startParallel - RR 3.1.0 released · 2014-04-10
- 2.0
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- RR 2.4.0 released · 2006-10-03
- RR 2.3.0 released · 2006-04-24
- 1.02006-03-20
- RR 2.2.0 released · 2005-10-06
Package metadata
- First published
- 2006-03-20
- Total releases
- 13 / 20 yrs
- License
- GPL (>= 2) OSI
- Minimum R
- ≥ 3.2
- Download size
- 440 KB
Cite
Cite this package
Run in R for the authors' entry:
citation("clustvarsel")The package provides a citation file, so citation() returns the authors' own entry.
It points to 10.18637/jss.v084.i01.
Cite the R Observatory
For a number measured here: a download total, a coverage figure, an archival date.
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.