Package index
Model fitting
EM-type estimators for univariate Gaussian mixture models. All fitters share the same interface and return converged/iter alongside the parameter estimates.
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robustGMM() - Fitting robust Gaussian Mixture Model
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vanillaGMM() - Standard Gaussian Mixture Model via EM
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uniformNoiseGMM() - Gaussian Mixture Model with a Uniform Noise Component
Tuning and objective functions
The beta-divergence objective and the leave-one-out Cramer-von Mises criterion for choosing the robustness tuning parameter.
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loo_cvm_div() - Leave-One-Out Cramer-von Mises Divergence
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beta_likelihood() - Beta-Likelihood of Gaussian Mixture Model
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beta_responsibility() - Generalized (Beta) Responsibility
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b_beta() - B-beta function of GMM model