clr_mixnorm: CLR evaluated on gaussian mixture model posterioris of X
In mcomas/mixpack: Tools to Work with Mixture Components

CLR evaluated on gaussian mixture model posterioris of X

1	clr_mixnorm(X, Pi, Mu, Sigma)

`X`	dataframe where density function is evaluated
`Pi`	a vector indicating the mixing proportions
`Mu`	a two dimensional array where second component indicates the mean of each gaussian component
`Sigma`	a three dimensional array where third component indicates the variance of each gaussian component