confint.glmm {glmm}

Calculates Asymptotic Confidence Intervals

Description

A function that calculates asymptotic confidence intervals for one or more parameters in a model fitted by by glmm. Confidence intervals can be calculated for fixed effect parameters and variance components using models.

Usage

## S3 method for class 'glmm'
confint(object, parm, level, ...)

Arguments

object

An object of class glmm usually created using glmm.

parm

A specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.

level

The confidence level required.

...

Additional arguments passed to or from other methods.

Value

A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labeled as (1-level)/2 and 1-(1-level)/2 in percent. By default, 2.5

Author(s)

Christina Knudson

See Also

glmm for model fitting.

Examples

library(glmm)
data(BoothHobert)
set.seed(123)
mod.mcml1<-glmm(y~0+x1,list(y~0+z1),varcomps.names=c("z1"), data=BoothHobert,
family.glmm=bernoulli.glmm,m=1000,doPQL=TRUE)
confint(mod.mcml1)