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.
||Sumathi <sumathimr at yahoo.co.in>|