flexmix_2: Multiple runs of MLE based mixture regression to stabilize the output.

Mixture regression based on MLE could be unstable when assuming unequal variance. Multiple runs of flexmix is performed to stabilize the results.

flexmix_2(formula, data1, k, mprior)

Arguments

formula

A symbolic description of the model to be fit.

data1

A data frame containing the predictor and response variables, where the last column is the response varible.

k

Number of mixture components.

mprior

A numeric number in (0,1) that specifies the minimum proportion of samples in each mixing components.

Value

A S4 object of flexmix class. xxx