Predicting locally adaptive mixing proportion for new data

[ch-pg]

After fitting the model with in-sample data, regmixEM.loc(rnorm(100),rnorm(100),kern.l = c("Gaussian"),k=2) is there a way to predict the locally adaptive mixing proportion for new data rnorm(10)? The returned value of the function is only for the I'm-sample data.