compute.BIC.init {varmixt} | R Documentation |
This function computes parameters of the mixture model given initial parameters
compute.BIC.init(VAR,df,sd.init,pi.init,nmixt,stop.crit=stop.crit.2,display=TRUE,PPOST=FALSE, niter.max=50000,VAR.OUT=FALSE,criterion=criterion)
VAR |
Vector of estimated variance |
df |
degrees of freedom of the estimated variance |
sd.init |
vector of initial standard deviation for the mixture |
pi.init |
vector of initial prior probability for the mixture |
nmixt |
Integer : number of components |
stop.crit |
Real : convergence criteria for the EM algo |
display |
Boolean : Should the program write its results on the console ? |
PPOST |
Boolean : Should the programm export the matrix of posterior probability of each gene ? |
niter.max |
Integer : maximum number of iteration of the EM algorithm |
VAR.OUT |
Boolean : Should the program export the vector of variance and the vector of corresponding components ? |
criterion |
Criterion for the convergence of EM algo. Either "likelihood" for criterion based on loglikelihood or "parameter" |
Paul Delmar