pCOpBIAAll: Performs p-Confidence and p-Bias estimation of 6 adjusted...

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

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

Details

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

Value

A dataframe with

x1	Number of successes (positive samples)
pconf	p-Confidence
pbias	p-Bias
method	Method name

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)

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