CoinMinD: Simultaneous Confidence Interval for Multinomial Proportion

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.

Author
Dr M.Subbiah
Date of publication
2013-05-28 10:31:25
Maintainer
Sumathi <sumathimr@yahoo.co.in>
License
GPL-2
Version
1.1

View on CRAN

Man pages

BMDE
Multinomial - Dirichlet (MD) model - Equal Prior - Bayes...
BMDU
Multinomial - Dirichlet (MD) model - UnEqual Prior - Bayes...
CoinMinD-package
Confidence Interval for Multinomial Proportion - CoinMinD
FS
Confidence Interval - Fitzpatrick and Scott
GM
Confidence Interval - Goodman
QH
Confidence Interval -Quesenberry and Hurst
SG
Confidence Interval -Sison and Glaz
WALD
Confidence Interval -WALD
WALDCC
Confidence Interval -WALDCC
WS
Confidence Interval -Wilson (WS)

Files in this package

CoinMinD
CoinMinD/MD5
CoinMinD/R
CoinMinD/R/WS.R
CoinMinD/R/WALDCC.R
CoinMinD/R/WALD.R
CoinMinD/R/SG.R
CoinMinD/R/QH.R
CoinMinD/R/GM.R
CoinMinD/R/FS.R
CoinMinD/R/BMDU.R
CoinMinD/R/BMDE.R
CoinMinD/NAMESPACE
CoinMinD/man
CoinMinD/man/WS.Rd
CoinMinD/man/WALDCC.Rd
CoinMinD/man/WALD.Rd
CoinMinD/man/SG.Rd
CoinMinD/man/QH.Rd
CoinMinD/man/GM.Rd
CoinMinD/man/FS.Rd
CoinMinD/man/CoinMinD-package.Rd
CoinMinD/man/BMDU.Rd
CoinMinD/man/BMDE.Rd
CoinMinD/DESCRIPTION