chmod.negbin

a list of Y - outcome variable and X - design matrix of class "negbin"

object

additional parameters to be passed to <code><a rd-options="MASS" href="/link/glm.nb?package=cluscov&version=1.1.0&to=MASS" data-mini-rdoc="MASS::glm.nb">glm.nb</a></code>

A negative binomial regression implementation for the "negbin" class. It uses <code><a rd-options="MASS" href="/link/glm.nb?package=cluscov&version=1.1.0&to=MASS" data-mini-rdoc="MASS::glm.nb">glm.nb</a></code>

Clustered covariate regression enables estimation and inference in
both linear and non-linear models with linear predictor functions even when the
design matrix is column rank deficient. Routines in this package implement algorithms
in Soale and Tsyawo (2019) <doi:10.13140/RG.2.2.32355.81441>.

Emmanuel Tsyawo

cluscov

Clustered Covariate Regression

chmod.negbin function

additional parameters to be passed to <code><a rd-options='MASS' href='glm.nb'>glm.nb</a></code>

A negative binomial regression implementation for the "negbin" class. It uses <code><a rd-options='MASS' href='glm.nb'>glm.nb</a></code>

chmod.negbin: Regression - negbin class

Description

Usage

Arguments

Value