View source: R/401.p-Confidence_p-Bias_BASE_All.R
pCOpBIAll | R Documentation |
Calculates p-confidence and p-bias for a given n and alpha level for 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)
pCOpBIAll(n, alp)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
Evaluation of p-confidence and p-bias for the n + 1 intervals using 6 base methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)
A dataframe with
x1 |
Number of successes (positive samples) |
pconf |
p-Confidence |
pbias |
p-Bias |
method |
Method |
[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()
,
PlotpCOpBIBA()
,
PlotpCOpBIEX()
,
PlotpCOpBILR()
,
PlotpCOpBILT()
,
PlotpCOpBISC()
,
PlotpCOpBITW()
,
PlotpCOpBIWD()
,
pCOpBIAS()
,
pCOpBIBA()
,
pCOpBIEX()
,
pCOpBILR()
,
pCOpBILT()
,
pCOpBISC()
,
pCOpBITW()
,
pCOpBIWD()
n=5; alp=0.05 pCOpBIAll(n,alp)
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