View source: R/402.p-Confidence_p-Bias_BASE_All_Graph.R
PlotpCOpBIBA | R Documentation |
Plots p-confidence and p-bias for Bayesian method given n and alpha level and priors a & b
PlotpCOpBIBA(n, alp, a1, a2)
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 |
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
[1] 2005 Vos PW and Hudson S. Evaluation Criteria for Discrete Confidence Intervals: Beyond Coverage and Length. The American Statistician: 59; 137 - 142.
Other p-confidence and p-bias of base methods:
PlotpCOpBIAS()
,
PlotpCOpBIAll()
,
PlotpCOpBIEX()
,
PlotpCOpBILR()
,
PlotpCOpBILT()
,
PlotpCOpBISC()
,
PlotpCOpBITW()
,
PlotpCOpBIWD()
,
pCOpBIAS()
,
pCOpBIAll()
,
pCOpBIBA()
,
pCOpBIEX()
,
pCOpBILR()
,
pCOpBILT()
,
pCOpBISC()
,
pCOpBITW()
,
pCOpBIWD()
n=5; alp=0.05;a1=1;a2=1 PlotpCOpBIBA(n,alp,a1,a2)
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