View source: R/401.p-Confidence_p-Bias_BASE_All.R
| pCOpBIAS | R Documentation | 
p-confidence and p-bias for ArcSine method given n and alpha level
pCOpBIAS(n, alp)
n | 
 - Number of trials  | 
alp | 
 - Alpha value (significance level required)  | 
Evaluation of Wald-type interval for the arcsine transformation of the parameter p using p-confidence and p-bias for the n + 1 intervals
A dataframe with
x1 | 
 Number of successes (positive samples)  | 
pconf  | 
 p-Confidence  | 
pbias  | 
 p-Bias  | 
[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(),
pCOpBIAll(),
pCOpBIBA(),
pCOpBIEX(),
pCOpBILR(),
pCOpBILT(),
pCOpBISC(),
pCOpBITW(),
pCOpBIWD()
n=5; alp=0.05 pCOpBIAS(n,alp)
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