EMrun_bet_dbb

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

response vector with 0 &lt; z_i &lt; 1.

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

mean parameter (vector having the same size of z).

tolerance to controll convergence criterion.

epsilon

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

link.precision

Function (adapted for the discrimination test between bessel and beta - DBB) to run the Expectation-Maximization algorithm for the beta regression.

Functions to fit, via Expectation-Maximization (EM) algorithm, the Bessel and Beta regressions to a data set with a bounded continuous response variable. The Bessel regression is a new and robust approach proposed in the literature. The EM version for the well known Beta regression is another major contribution of this package. See details in the references Barreto-Souza, Mayrink and Simas (2022) <doi:10.1111/anzs.12354> and Barreto-Souza, Mayrink and Simas (2020) <arXiv:2003.05157>.

EMrun_bet_dbb: EMrun_bet_dbb

Description

Usage

Arguments

Value