Simultaneous Confidence Intervals for Multinomial Proportions
BMDE: Multinomial–Dirichlet Equal Prior Bayesian Method
BMDU: Multinomial–Dirichlet Unequal Prior Bayesian Method
FS: Fitzpatrick and Scott Method for Simultaneous Confidence Intervals
GM: Goodman Method for Simultaneous Confidence Intervals
QH: Quesenberry and Hurst Method for Simultaneous Confidence Intervals
SG: Sison and Glaz Method for Simultaneous Confidence Intervals
WALD: Wald Method for Simultaneous Confidence Intervals
WALDCC: Wald Method with Continuity Correction for Simultaneous Confid...
WS: Wilson Score Method for Simultaneous Confidence Intervals
Several authors have proposed methods for constructing simultaneous confidence intervals for multinomial proportions. The package implements seven classical approaches—Wilson, Quesenberry and Hurst, Goodman, Wald (with and without continuity correction), Fitzpatrick and Scott, and Sison and Glaz—along with Bayesian methods based on Dirichlet models. Both equal and unequal Dirichlet priors are supported, providing a broad framework for inference, data analysis, and sensitivity evaluation.