BMDE


x refers to the cell counts of given contingency table corresponding to a categorical data - non negative integers



the equal value for the Dirichlet prior parameter - positive real number



This method provides 95 percent simultaneous confidence interval for multinomial proportions based on Bayesian Multinomial Dirichlet model. This method assumes equal values for the Dirichlet prior parameters

 Bayes Method 

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.

BMDE: Multinomial - Dirichlet (MD) model - Equal Prior - Bayes Methods

Description

Usage

Arguments

Value

References

See Also

Examples