ci.BMDU: Bayes estimation with different hyper priors

In RajeswaranV/vcdPlus: Summary and inference of categorical data and contingency tables

Description

Bayes estimation with different hyper priors

Usage

ci.BMDU(x, d)

Arguments

x	- Vector of positive integers
d	- Number of divisions

Value

A list of dataframes

BE.diff.prior.vol.df	Bayesian estimation Volume
BE.diff.prior.LL.df	Dataframe of Bayesian prior Lower Limits
BE.diff.prior.UL.df	Dataframe of Bayesian prior Upper Limits
BE.diff.prior.mean.df	Dataframe of Bayesian prior mean

See Also

rdirichlet with additional n and shape paramaters. This function calls rBeta2009 function.

Other Confidence Interval for Multinomial Proportion: ci.FS, ci.GM, ci.QH, ci.SG, ci.WS, ci.WaldCC, ci.Wald

Examples

x = c(56,72,73,59,62,87,68,99,98)
d=3
ci.BMDU(x,d)

RajeswaranV/vcdPlus documentation built on May 27, 2019, 7:28 a.m.