Transcendental Algorithm for Mixtures of Distributions

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Documentation for package ‘tamd’ version 1.0.2

• DESCRIPTION file
• Package README

Help Pages

compute_aic	AIC for Gaussian Mixture Models
compute_bic	BIC for Gaussian Mixture Models
compute_tac	Transcendental Affinity Criterion (TAC)
compute_tic	Transcendental Information Criterion (TIC)
hellinger_affinity	Hellinger Affinity Between Two Gaussian Distributions
hellinger_affinity_matrix	Pairwise Hellinger Affinity Matrix
label_match	Label-Matched Parameter Comparison
plot.tamd	Plot a tamd Object
print.tamd	Print a tamd Object
regularity_index	Regularity Index (Titterington Theorem)
rlct_gaussian	Real Log-Canonical Threshold for Gaussian Mixtures
separation_gradient_cov	Separation Barrier Gradients
separation_gradient_mean	Separation Barrier Gradients
simulate_gmm	Simulate Data from a Gaussian Mixture Model
summary.tamd	Summarize a tamd Object
tamd	Fit a Gaussian Mixture Model via TAMD
tamd_select	Automated Model Order Selection via TAC