mixFun: Model Based Clustering Routines

In thq80/Cornuet_2012_Adaptive-Mutiple-IS: A R Adaptive Multiple Importance Sampling

Description

Functions for the fitting of the mixture model. They represent an example for the user to write his own. The returned function must be in the form

mixture(xx)

Arguments

xx	A matrix with p columns

Details

mixmodMix is still work in progress...

Value

Returns a list with components:

alpha	Vector of Cluster Proportions
muHat	Matrix with cluster means by rows. Dimensions GXp.
SigmaHat	Array of Variance-Covariance matrix. Dimensions pXpXG.
G	Number of components.
cluster	Labels vector.

Author(s)

Luca Pozzi, [e-mail]

Examples

# mclustMix(G = 2:9)(cbind(rnorm(100),rnorm(100)))
# mixmodMix(G = 1)(cbind(rnorm(100),rnorm(100)))

thq80/Cornuet_2012_Adaptive-Mutiple-IS documentation built on May 21, 2019, 9:23 a.m.