GOFclustering: Goodness-of-Fit Testing for Model-Based Clustering
Performs goodness-of-fit tests for model-based clustering
based on the methodology developed in <doi:10.48550/arXiv.2511.04206>.
It implements a test statistic
derived from empirical likelihood to verify the distribution of
clusters in multivariate Gaussian mixtures and other latent
class models.
| Version: |
1.0.4 |
| Depends: |
R (≥ 4.4) |
| Imports: |
Rcpp, parallel, VarSelLCM, mixtools, goftest, partitions, randtoolbox, stats, mvtnorm |
| LinkingTo: |
Rcpp, RcppArmadillo |
| Published: |
2026-03-21 |
| DOI: |
10.32614/CRAN.package.GOFclustering (may not be active yet) |
| Author: |
Salima El Kolei [aut],
Matthieu Marbac [aut, cre] |
| Maintainer: |
Matthieu Marbac <matthieu.marbac at univ-ubs.fr> |
| License: |
GPL-2 | GPL-3 [expanded from: GPL (≥ 2)] |
| NeedsCompilation: |
yes |
| CRAN checks: |
GOFclustering results |
Documentation:
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