survey: confint.svyglm – R documentation

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confint.svyglm

Confidence intervals for regression parameters

Description

Computes confidence intervals for regression parameters in svyglm objects. The default is a Wald-type confidence interval, adding and subtracting a multiple of the standard error. The method="likelihood" is an interval based on inverting the Rao-Scott likelihood ratio test. That is, it is an interval where the working model deviance is lower than the threshold for the Rao-Scott test at the specified level.

Usage

## S3 method for class 'svyglm'
confint(object, parm, level = 0.95, method = c("Wald", "likelihood"), ddf = Inf, ...)

Arguments

`object`	`svyglm` object
`parm`	numeric or character vector indicating which parameters to construct intervals for.
`level`	desired coverage
`method`	See description above
`ddf`	Denominator degrees of freedom for `"likelihood"` method, to use a t distribution rather than norma. If `NULL`, use `object$df.residual`
`...`	for future expansion

Value

A matrix of confidence intervals

References

J. N. K. Rao and Alistair J. Scott (1984) On Chi-squared Tests For Multiway Contigency Tables with Proportions Estimated From Survey Data. Annals of Statistics 12:46-60

Examples

data(api)
dclus2<-svydesign(id=~dnum+snum, fpc=~fpc1+fpc2, data=apiclus2)

m<-svyglm(I(comp.imp=="Yes")~stype*emer+ell, design=dclus2, family=quasibinomial)
confint(m)
confint(m, method="like",ddf=NULL, parm=c("ell","emer"))

survey

Analysis of Complex Survey Samples

v4.0

GPL-2 | GPL-3

Authors

Thomas Lumley

Initial release