confint.repolr {repolr} | R Documentation |
Confidence Intervals for repolr Model Parameters
Description
Computes confidence intervals for one or more parameters in a fitted repolr
model object.
Usage
## S3 method for class 'repolr'
confint(object, parm, level = 0.95, robust.var = TRUE, ...)
Arguments
object |
is a model fitted using |
parm |
a specification of which parameters are to be used, either a vector of numbers or a vector of names. If missing, all parameters are considered. |
level |
the confidence level required. |
robust.var |
logical; if |
... |
further arguments passed to or from other methods. |
Details
The method assumes normality and uses as default the estimated robust variance matrix.
Value
A matrix (or vector) with columns giving lower and upper confidence limits for each parameter.
Examples
data(HHSpain)
mod.0 <- repolr(HHSpain~Sex*Time, data=HHSpain, categories=4, subjects="Patient",
times=c(1,2,5), corr.mod="uniform", alpha=0.5)
confint(mod.0, robust.var = FALSE)
[Package repolr version 3.4 Index]