gmmsslm (version 1.1.5)

rlabel: Generation of a missing-data indicator

Description

Generate the missing label indicator

Usage

rlabel(dat, pi, mu, sigma, xi)

Value

m

A n-dimensional vector of missing label indicator. The element of outputs m represents its label indicator is missing if m equals 1, otherwise its label indicator is available if m equals to 0.

Arguments

dat

An \(n\times p\) matrix where each row represents an individual observation.

pi

A g-dimensional vector for the initial values of the mixing proportions.

mu

A \(p \times g\) matrix for the initial values of the location parameters.

sigma

A \(p\times p\) covariance matrix,or a list of g covariance matrices with dimension \(p\times p \times g\). It is assumed to fit the model with a common covariance matrix if sigma is a \(p\times p\) covariance matrix; otherwise it is assumed to fit the model with unequal covariance matrices.

xi

A 2-dimensional coefficient vector for a logistic function of the Shannon entropy.

Examples

n<-150
pi<-c(0.25,0.25,0.25,0.25)
sigma<-array(0,dim=c(3,3,4))
sigma[,,1]<-diag(1,3)
sigma[,,2]<-diag(2,3)
sigma[,,3]<-diag(3,3)
sigma[,,4]<-diag(4,3)
mu<-matrix(c(0.2,0.3,0.4,0.2,0.7,0.6,0.1,0.7,1.6,0.2,1.7,0.6),3,4)
dat<-rmix(n=n,pi=pi,mu=mu,sigma=sigma)
xi<-c(-0.5,1)
m<-rlabel(dat=dat$Y,pi=pi,mu=mu,sigma=sigma,xi=xi)