Mixture Models for Clustering and Classification

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Documentation for package ‘mixture’ version 2.1.2

• DESCRIPTION file.

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mixture-package	Mixture Models for Clustering and Classification
ARI	Adjusted Rand Index
e_step	Expectation Step
get_best_model	Best Model Extractor
ghpcm	Generalized Hyperbolic Parsimonious Clustering Models
gpcm	Gaussian Parsimonious Clustering Models
main_loop	GPCM Internal C++ Call
main_loop_gh	GHPCM Internal C++ Call
main_loop_st	STPCM Internal C++ Call
main_loop_t	TPCM Internal C++ Call
main_loop_vg	VGPCM Internal C++ Call
MAP	Maximum _a posterori_
mixture	Mixture Models for Clustering and Classification
pcm	Parsimonious Clustering Models
stpcm	Skew-t Parsimonious Clustering Models
sx2	Skewed Simulated Data 1
sx3	Skewed Simulated Data 2
tpcm	Student T Parsimonious Clustering Models
vgpcm	Variance Gamma Parsimonious Clustering Models
x2	Simulated Data
z_ig_kmeans	K-means Initialization
z_ig_random_hard	Random Hard Initialization
z_ig_random_soft	Random Soft Initialization