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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 (may not be active yet) |
| 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 |
| Reference manual: | PseudoVoigtMixt.html , PseudoVoigtMixt.pdf |
| Package source: | PseudoVoigtMixt_0.1.0.tar.gz |
| Windows binaries: | r-devel: not available, r-release: PseudoVoigtMixt_0.1.0.zip, r-oldrel: PseudoVoigtMixt_0.1.0.zip |
| macOS binaries: | r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): PseudoVoigtMixt_0.1.0.tgz, r-oldrel (x86_64): PseudoVoigtMixt_0.1.0.tgz |
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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.