Function providing initial values for the Expectation-Maximization algorithm.
startvalues(z, x, v, link.mean)response vector with 0 < z_i < 1.
matrix containing the covariates for the mean submodel. Each column is a different covariate.
matrix containing the covariates for the precision submodel. Each column is a different covariate.
a string containing the link function for the mean. The possible link functions for the mean are "logit","probit", "cauchit", "cloglog".