choose.nmixt {varmixt} | R Documentation |
This function finds the number of components that minimizes the BIC criteria.
choose.nmixt(VAR,df,crit=c("AIC","BIC")[2],stop.crit=stop.crit.2,display=TRUE, criterion=c("likelihood","parameter")[1])
VAR |
Vector of estimated variance |
df |
degrees of freedom of the estimated variance |
crit |
method for choosing the number of component : "BIC" or "AIC" |
stop.crit |
stop criterion for EM algorithm |
display |
Boolean. Should the estimated parameters be displayed on the screen ? |
criterion |
"likelihood" or "parameter". The convergence of EM algo will be decided with regard to the increase of likelihood or lack of noticeable in parameter value. |
Paul Delmar and Julie Aubert
compute.dif
,compute.dif.paired
,compute.BIC