predict.em.glm: Predict values from an 'em.glm' model.

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

Description

Predict values from an 'em.glm' model.

Usage

## S3 method for class 'em.glm'
predict(object, x, y, weight, type = "count", ...)

Arguments

object	An em.glm fit 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	Prediction type. Currently can be 'count' for the weighted prediction, 'rate' for the expected rate or 'rho' for the linear predictor.
...	optionally more fitted model objects.

Value

N-length vector of predicted terms.

Examples

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

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

predict(m, x = x, y = y, weight = c(1))

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