binomial.glmm: Functions for the Binomial family.

In glmm: Generalized Linear Mixed Models via Monte Carlo Likelihood Approximation

Functions for the Binomial family.

Description

Given a scalar eta and the number of trials, this calculates the cumulant and two derivatives for the Bernoulli family. Also checks that the data are entered correctly.

Usage

binomial.glmm()

Value

family.glmm	The family name, as a string.
link	The link function (canonical link is required), as a string.
cum	The cumulant function.
cp	The first derivative of the cumulant function.
cpp	The second derivative of the cumulant function.
checkData	A function to check that all data are nonnegative.

Note

This function is to be used by the glmm command.

Author(s)

Christina Knudson

See Also

glmm

Examples

eta<--3:3
ntrials <- 1
binomial.glmm()$family.glmm
binomial.glmm()$cum(eta, ntrials)
binomial.glmm()$cp(1, ntrials)
binomial.glmm()$cpp(2, ntrials)

glmm documentation built on Sept. 30, 2024, 9:44 a.m.