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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
0.1.0 |
rolling linux/jammy R-4.5 | PseudoVoigtMixt_0.1.0.tar.gz |
72.8 KiB |
0.1.0 |
rolling linux/noble R-4.5 | PseudoVoigtMixt_0.1.0.tar.gz |
72.8 KiB |
0.1.0 |
rolling source/ R- | PseudoVoigtMixt_0.1.0.tar.gz |
15.7 KiB |
0.1.0 |
latest linux/jammy R-4.5 | PseudoVoigtMixt_0.1.0.tar.gz |
72.8 KiB |
0.1.0 |
latest linux/noble R-4.5 | PseudoVoigtMixt_0.1.0.tar.gz |
72.8 KiB |
0.1.0 |
latest source/ R- | PseudoVoigtMixt_0.1.0.tar.gz |
15.7 KiB |
0.1.0 |
2026-04-23 source/ R- | PseudoVoigtMixt_0.1.0.tar.gz |
0 B |