R: Transcendental Algorithm for Mixtures of Distributions

# Transcendental Algorithm for Mixtures of Distributions

## Documentation for package ‘tamd’ version 1.0.2

- DESCRIPTION file.

## 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