startvalues: startvalues

In vpnsctl/bbreg: Bessel and Beta Regressions via Expectation-Maximization Algorithm for Continuous Bounded Data

Description

Function providing initial values for the Expectation-Maximization algorithm.

Usage

startvalues(z, x, v, link.mean, link.precision, model)

Arguments

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.
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".
model	The model to which the initial values will be applied, "bessel" or "beta".

vpnsctl/bbreg documentation built on March 14, 2021, 12:11 a.m.