pCOpBIBA: p-confidence and p-bias for Bayesian method given n and alpha...

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

p-confidence and p-bias for Bayesian method given n and alpha level and priors a & b

Description

p-confidence and p-bias for Bayesian method given n and alpha level and priors a & b

Usage

pCOpBIBA(n, alp, a1, a2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
a1	- Shape parameter 1 for prior Beta distribution in Bayesian model
a2	- Shape parameter 2 for prior Beta distribution in Bayesian model

Details

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

Value

A dataframe with

x1	Number of successes (positive samples)
pconfQ	p-Confidence Quantile
pbiasQ	p-Bias Quantile
pconfH	p-Confidence HPD
pbiasH	p-Bias HPD

References

[1] 2005 Vos PW and Hudson S. Evaluation Criteria for Discrete Confidence Intervals: Beyond Coverage and Length. The American Statistician: 59; 137 - 142.

See Also

Other p-confidence and p-bias of base methods: PlotpCOpBIAS(), PlotpCOpBIAll(), PlotpCOpBIBA(), PlotpCOpBIEX(), PlotpCOpBILR(), PlotpCOpBILT(), PlotpCOpBISC(), PlotpCOpBITW(), PlotpCOpBIWD(), pCOpBIAS(), pCOpBIAll(), pCOpBIEX(), pCOpBILR(), pCOpBILT(), pCOpBISC(), pCOpBITW(), pCOpBIWD()

Examples

n=5; alp=0.05;a1=1;a2=1
pCOpBIBA(n,alp,a1,a2)

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