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.
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.