confint.IHA: Confidence Intervals for IHA Central Tendencies

Description Usage Arguments Details Value Examples

Description

Computes confidence intervals for parametric and non-parametric central tendencies computed by IHA.

Usage

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## S3 method for class 'IHA'
confint(object, parm, level = 0.95, ...)

Arguments

object

An object of class IHA.

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.

...

additional argument(s) for methods.

Details

Parametric confidence intervals are computed using t-test. Non-parametric confidence intervals are based on parameter value rankings.

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

Examples

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data(siouxcity)
res = IHA(siouxcity['2009/2011'], ut = 32000, lt = 12000)
summary(res)
confint(res)

mkoohafkan/flowregime documentation built on May 23, 2019, 2:02 a.m.