Estimate confidence intervals for one or more parameters in a USL model. The intervals are calculated from the parameter standard error using the Student t distribution at the given level.
# S4 method for USL
confint(object, parm, level = 0.95)A matrix (or vector) with columns giving lower and upper confidence limits for each parameter. These will be labelled as (1-level)/2 and 1 - (1-level)/2 in % (by default 2.5% and 97.5%).
A USL object.
A specification of which parameters are to be given confidence intervals, either a vector of numbers or a vector of names. If missing, all parameters are considered.
The confidence level required.
Bootstrapping is no longer used to estimate confidence intervals.
usl
require(usl)
data(specsdm91)
## Create USL model
usl.model <- usl(throughput ~ load, specsdm91)
## Print confidence intervals
confint(usl.model)
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