doi:10.1002/cjs.10047> and McNicholas and Subedi (2012) <doi:10.1016/j.jspi.2011.11.026>.">

longclust: Model-Based Clustering and Classification for Longitudinal Data (original) (raw)

Clustering or classification of longitudinal data based on a mixture of multivariate t or Gaussian distributions with a Cholesky-decomposed covariance structure. Details in McNicholas and Murphy (2010) <doi:10.1002/cjs.10047> and McNicholas and Subedi (2012) <doi:10.1016/j.jspi.2011.11.026>.

Version: 1.5
Depends: R (≥ 4.3.0)
Suggests: mvtnorm
Published: 2023-12-21
DOI: 10.32614/CRAN.package.longclust
Author: Paul D. McNicholasORCID iD [aut, cre], K. Raju Jampani [aut] (May to Dec 2012), Sanjeena Subedi ORCID iD [aut]
Maintainer: Paul D. McNicholas
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: yes
Materials:
CRAN checks: longclust results

Documentation:

Reference manual: longclust.html , <longclust.pdf>

Downloads:

Package source: longclust_1.5.tar.gz
Windows binaries: r-devel: longclust_1.5.zip, r-release: longclust_1.5.zip, r-oldrel: longclust_1.5.zip
macOS binaries: r-release (arm64): longclust_1.5.tgz, r-oldrel (arm64): longclust_1.5.tgz, r-release (x86_64): longclust_1.5.tgz, r-oldrel (x86_64): longclust_1.5.tgz
Old sources: longclust archive

Linking:

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