ci.WS: The simultaneous confidence interval for multinomial...

In RajeswaranV/vcdPlus: Summary and inference of categorical data and contingency tables

Description

The simultaneous confidence interval for multinomial proportions based on the method proposed in Wilson (1927)

Usage

ci.WS(inpmat, alpha)

Arguments

inpmat	- The input matrix
alpha	- Alpha value (significance level required)

Value

A list of dataframes

WaldCC.Volume	Wald Volume
WaldCC.UpLim	Dataframe of Wald Upper Limits
WaldCC.LowLim	Dataframe of Wald Lower Limits
WaldCC.Length	Dataframe of Wald Lengths

Author(s)

Subbiah and Balakrishna S Kesavan

References

[1] E.B. Wilson, Probable inference, the law of succession and statistical inference, J.Am. Stat. Assoc.22 (1927) 209-212.

See Also

Other Confidence Interval for Multinomial Proportion: ci.BMDU, ci.FS, ci.GM, ci.QH, ci.SG, ci.WaldCC, ci.Wald

Examples

x = c(56,72,73,59,62,87,68,99,98)
inpmat = cbind(x[1:3],x[4:6],x[7:9])
alpha=0.05
ci.WS(inpmat,alpha)

RajeswaranV/vcdPlus documentation built on May 27, 2019, 7:28 a.m.