confint.HLfit: Confidence intervals for fixed-effect parameters
Description
This computes confidence intervals for a given fixed effect parameter, based on the p_v-based approximation
of the profile likelihood ratio for this parameter. The profiling is other all other fitted parameters: other fixed effects, as well as variances of random effects and spatial correlations if these were fitted.
Usage
# S3 method for HLfit
confint(object, parm, level=0.95, verbose=TRUE,...)
Arguments
object
An object of class HLfit, such as return object of HLfit, HLCor or corrHLfit calls;
parm
The name of a parameter to be fitted, or its position in the the object's $fixef vector.
Valid names are those of the object's $fixef;
level
The coverage of the interval;
verbose
whether to print the interval or not. As the function returns its more extensive results invisibly,
this printing is the only visible output;
…
Additional arguments (maybe not used, but conforming to the generic definition of confint).
Value
A list including the confidence interval for the target parameter, and the
fits lowerfit and upperfit giving the profile fits at the confidence bounds.
This is returned invisibly.
# NOT RUN {<!-- % checked in test-confint.R -->
# }
# NOT RUN {
data(wafers)
wfit <- HLfit(y ~X1+(1|batch),family=Gamma(log),data=wafers,HLmethod="ML")
confint(wfit,"X1")
# }