D2Q_Obs_Fisher_bes

vector of parameters (all coefficients: kappa and lambda).

theta

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

link.mean

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

link.precision

Auxiliary function to compute the observed Fisher information matrix for the bessel 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>.

D2Q_Obs_Fisher_bes: D2Q_Obs_Fisher_bes

Description

Usage

Arguments

Value