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PseudoVoigtMixt: Multivariate Pseudo-Voigt Mixture Models

Fits multivariate pseudo-Voigt mixture models for model-based clustering and outlier detection. The model combines multivariate Gaussian and Cauchy distributions within each cluster to accommodate heavy-tailed observations and decompose the data into a high-density region and a low-density remainder, with outliers more likely to arise from the latter.

Version: 0.1.0
Imports: MASS, tclust
Suggests: testthat (≥ 3.0.0)
Published: 2026-09-08
DOI: 10.32614/CRAN.package.PseudoVoigtMixt
Author: Babak Fathollahi Dehkordi [aut, cre], Jeffery Andrews [aut, ths]
Maintainer: Babak Fathollahi Dehkordi <babak.dehkordi.f at gmail.com>
License: MIT + file LICENSE
NeedsCompilation: no
Materials: README
CRAN checks: PseudoVoigtMixt results

Documentation:

Reference manual: PseudoVoigtMixt.html , PseudoVoigtMixt.pdf

Downloads:

Package source: PseudoVoigtMixt_0.1.0.tar.gz
Windows binaries: r-devel: PseudoVoigtMixt_0.1.0.zip, r-release: PseudoVoigtMixt_0.1.0.zip, r-oldrel: PseudoVoigtMixt_0.1.0.zip
macOS binaries: r-release (arm64): PseudoVoigtMixt_0.1.0.tgz, r-oldrel (arm64): PseudoVoigtMixt_0.1.0.tgz, r-release (x86_64): PseudoVoigtMixt_0.1.0.tgz, r-oldrel (x86_64): PseudoVoigtMixt_0.1.0.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=PseudoVoigtMixt to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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