confint-USL-method: Confidence Intervals for USL model parameters

In smoeding/usl: Analyze System Scalability with the Universal Scalability Law

Confidence Intervals for USL model parameters

Description

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.

Usage

## S4 method for signature 'USL'
confint(object, parm, level = 0.95)

Arguments

object	A USL object.
parm	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.
level	The confidence level required.

Details

Bootstrapping is no longer used to estimate confidence intervals.

Value

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%).

See Also

usl

Examples

require(usl)

data(specsdm91)

## Create USL model
usl.model <- usl(throughput ~ load, specsdm91)

## Print confidence intervals
confint(usl.model)

smoeding/usl documentation built on Oct. 1, 2022, 3:14 a.m.