proportion (version 2.0.0)

pCOpBIAAll: Performs p-Confidence and p-Bias estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) given adding factor

Description

Performs p-Confidence and p-Bias estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) given adding factor

Usage

pCOpBIAAll(n, alp, h)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

h

- Adding factor

Value

A dataframe with

x1

Number of successes (positive samples)

pconf

p-Confidence

pbias

p-Bias

method

Method name

Details

Evaluation of p-Confidence and p-Bias estimation of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

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 adjusted methods: PlotpCOpBIAAS, PlotpCOpBIAAll, PlotpCOpBIALR, PlotpCOpBIALT, PlotpCOpBIASC, PlotpCOpBIATW, PlotpCOpBIAWD, pCOpBIAAS, pCOpBIALR, pCOpBIALT, pCOpBIASC, pCOpBIATW, pCOpBIAWD

Examples

n=5; alp=0.05;h=2
pCOpBIAAll(n,alp,h)