MPG-package: Comparison across mixture models through mixtures of...
In jacsor/MPG: Mixtures of Perturbed Gaussians

Description Details Author(s) References See Also Examples

Bayesian model for comparison across mixtures of perturbed Gaussians. The model detects variations in the mixture weights and in the mixture locations across the mixture models.

Package:	MPG
Type:	Package
Version:	1.0
Date:	2015-03-10
License:	GPL (>= 3)

Jacopo Soriano

Maintainer: Jacopo Soriano <jacopo.soriano@gmail.com>

Literature or other references for background information

Optional links to other man pages, e.g. <pkg>

n = c(250, 250)
p = 4

Y1 = rbind( matrix( rnorm( n[1]*p), ncol = p), matrix( rnorm(n[2]*p) + 3, ncol = p))
Y2 = rbind( matrix( rnorm( n[1]*p), ncol = p), matrix( rnorm(n[2]*p) + 4, ncol = p))
Y = rbind(Y1, Y2)
C = c( rep(1,sum(n)), rep(2,sum(n)))

ans = mpg(Y, C)  
plotDiff(ans, type = "weight")
plotDiff(ans, type = "shift")