dispersion: Pearson-based dispersion measurements of an 'em.glm' model.

In emax.glm: General Tools for Building GLM Expectation-Maximization Models

Description

Pearson-based dispersion measurements of an 'em.glm' model.

Usage

dispersion(em.glm, x, y, weight)

Arguments

em.glm	An 'em.glm' object.
x	An n-by-p design matrix.
y	A vector of observation of length n.
weight	A n length vector of observation weight terms. This is currently designed to be either the exposure for a Poisson model or the number of trials for a Logistic model.

Value

A list of dispersion parameters for the model.

Examples

x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks
m <- em.glm(x = x, y = y, K = 2, b.init = "random")
dispersion(m, x, y, weight = c(1))

emax.glm documentation built on July 4, 2019, 5:04 p.m.