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CoinMinD (version 1.1)

Simultaneous Confidence Interval for Multinomial Proportion

Description

Methods for obtaining simultaneous confidence interval for multinomial proportion have been proposed by many authors and the present study include a variety of widely applicable procedures. Seven classical methods (Wilson, Quesenberry and Hurst, Goodman, Wald with and without continuity correction, Fitzpatrick and Scott, Sison and Glaz) and Bayesian Dirichlet models are included in the package. The advantage of MCMC pack has been exploited to derive the Dirichlet posterior directly and this also helps in handling the Dirichlet prior parameters. This package is prepared to have equal and unequal values for the Dirichlet prior distribution that will provide better scope for data analysis and associated sensitivity analysis.

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Version

Install

install.packages('CoinMinD')

Monthly Downloads

15

Version

1.1

License

GPL-2

Maintainer

Sumathi R

Last Published

May 28th, 2013

Functions in CoinMinD (1.1)

GM

Confidence Interval - Goodman
FS

Confidence Interval - Fitzpatrick and Scott
WALD

Confidence Interval -WALD
CoinMinD-package

Confidence Interval for Multinomial Proportion - CoinMinD
WALDCC

Confidence Interval -WALDCC
SG

Confidence Interval -Sison and Glaz
BMDE

Multinomial - Dirichlet (MD) model - Equal Prior - Bayes Methods
WS

Confidence Interval -Wilson (WS)
QH

Confidence Interval -Quesenberry and Hurst
BMDU

Multinomial - Dirichlet (MD) model - UnEqual Prior - Bayes Methods