compute.BIC {varmixt} | R Documentation |
This function computes parameters of the mixture with deterministic initial parameters
compute.BIC(VAR,df,nmixt,stop.crit=1.e-08,display=TRUE,criterion=c("likelihood","parameter")[2], PPOST=FALSE,VAR.OUT=FALSE)
VAR |
Vector of estimated variance |
df |
degrees of freedom of the estimated variance |
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 ? |
criterion |
Criterion for the convergence of EM algo. Either "likelihood" : for criterion based on loglikelihood or "parameter" |
PPOST |
Boolean : Should the programm export the matrix of posterior probability of each gene? |
VAR.OUT |
Boolean : Should the program export the vector of variance and the vector of corresponding components? |
Paul Delmar and Julie Aubert