residuals.em.glm: Deviance residuals for an 'em.glm' object.

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

Description

Deviance residuals for an 'em.glm' object.

Usage

## S3 method for class 'em.glm'
residuals(object, x, y, weight = c(1),
  type = "deviance", ...)

Arguments

object	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.
type	Residual type - either deviance or Pearson's residuals.
...	other arguments.

Value

An n length vector of residuals.

Examples

x <- model.matrix(~ factor(wool) + factor(tension), warpbreaks)
y <- warpbreaks$breaks

m <- em.glm(x = x, y = y, K = 2, b.init = "random")

residuals(m, x = x, y = y)

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