EMrun_bes {bbreg}

EMrun_bes

Description

Function to run the Expectation-Maximization algorithm for the bessel regression.

Usage

EMrun_bes(kap, lam, z, x, v, epsilon, link.mean, link.precision)

Arguments

kap

initial values for the coefficients in kappa related to the mean parameter.

lam

initial values for the coefficients in lambda related to the precision parameter.

z

response vector with 0 < z_i < 1.

x

matrix containing the covariates for the mean submodel. Each column is a different covariate.

v

matrix containing the covariates for the precision submodel. Each column is a different covariate.

epsilon

tolerance to control the convergence criterion.

link.mean

a string containing the link function for the mean. The possible link functions for the mean are "logit","probit", "cauchit", "cloglog".

link.precision

a string containing the link function the precision parameter. The possible link functions for the precision parameter are "identity", "log", "sqrt", "inverse".

Value

Vector containing the estimates for kappa and lambda in the bessel regression.