ClusterBootstrap (version 1.1.2)

confint.clusbootglm: Confidence intervals for cluster bootstrap model parameters

Description

Computes confidence intervals for one or more parameters in a fitted GLM with the cluster bootstrap.

Usage

# S3 method for clusbootglm
confint(object, parm = "all", level = 0.95, interval.type = "BCa", ...)

Arguments

object

object of class clusbootglm.

parm

a specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. Defaults to all parameters.

level

the required confidence level

interval.type

type of confidence level. Options are BCa, percentile, and parametric.

...

other arguments.

Examples

# NOT RUN {
data(opposites)
cbglm.1 <- clusbootglm(SCORE~Time*COG,data=opposites,clusterid=Subject)
confint(cbglm.1,parm=c("Time","COG"), level=.90, interval.type="percentile")
# }