| confint.svyglm {survey} | R Documentation |
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.
## S3 method for class 'svyglm':
confint(object, parm, level = 0.95, method = c("Wald", "likelihood"), ddf = Inf, ...)
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 |
A matrix of confidence intervals
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
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"))