make.dpois: Build a Poisson log likelihood

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

Description

Build a Poisson log likelihood

Usage

make.dpois(x, y, linkinv = poisson()$linkinv, weight = c(1),
  log = FALSE)

Arguments

x	An n-by-p design matrix.
y	A vector of observation of length n.
linkinv	Inverse link function desired
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.
log	Boolean flag. If TRUE returns the log dist.

Value

A function to calculate (log) likelihood for a given set of parameters under a Poisson model.

Examples

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

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