dNBllcolNP: Estimation of the parameters of a third degree GLM

View source: R/F_dNBllcolNP.R

dNBllcolNPR Documentation

Estimation of the parameters of a third degree GLM

Description

Estimation of the parameters of a third degree GLM

Usage

dNBllcolNP(beta, X, reg, theta, muMarg, allowMissingness, naId, ...)

Arguments

beta

A vector of any length

X

the data vector of length n

reg

a nxlength(beta) regressor matrix

theta

a scalar, the overdispersion

muMarg

the offset of length n

allowMissingness

A boolean, are missing values present

naId

The numeric index of the missing values in X

...

further arguments passed on to the jacobian

Value

A vector of the same length as beta with evaluations of the score function


CenterForStatistics-UGent/RCM documentation built on April 24, 2023, 8:26 p.m.