PlotlengthBA: Plot the Bayesian method of length summary

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

Plot the Bayesian method of length summary

Description

Plot the Bayesian method of length summary

Usage

PlotlengthBA(n, alp, a, b, a1, a2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
a	- Beta parameters for hypo "p"
b	- Beta parameters for hypo "p"
a1	- Beta Prior Parameters for Bayesian estimation
a2	- Beta Prior Parameters for Bayesian estimation

Details

Plots of Bayesian Highest Probability Density (HPD) and two tailed intervals using expected length of the n + 1 intervals for the Beta - Binomial conjugate prior model for the probability of success p

Value

A dataframe with

See Also

Other Expected length of base methods: PlotexplAS(), PlotexplAll(), PlotexplBA(), PlotexplEX(), PlotexplLR(), PlotexplLT(), PlotexplSC(), PlotexplTW(), PlotexplWD(), PlotlengthAS(), PlotlengthAll(), PlotlengthEX(), PlotlengthLR(), PlotlengthLT(), PlotlengthSC(), PlotlengthTW(), PlotlengthWD(), lengthAS(), lengthAll(), lengthBA(), lengthEX(), lengthLR(), lengthLT(), lengthSC(), lengthTW(), lengthWD()

Examples

n=5; alp=0.05;a=1;b=1;a1=1;a2=1
PlotlengthBA(n,alp,a,b,a1,a2)

RajeswaranV/proportion documentation built on June 17, 2022, 9:11 a.m.