pCOpBICAll: Performs p-Confidence and p-Bias estimation for 5 continuity...

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

Performs p-Confidence and p-Bias estimation for 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine)

Description

Performs p-Confidence and p-Bias estimation for 5 continuity corrected methods (Wald, Wald-T, Score, Logit-Wald, ArcSine)

Usage

pCOpBICAll(n, alp, c)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
c	- Continuity correction

Details

Evaluation of p-Confidence and p-Bias estimation of 5 continuity corrected methods (Wald, Wald-T, 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 continuity corrected methods: PlotpCOpBICAS(), PlotpCOpBICAll(), PlotpCOpBICLT(), PlotpCOpBICSC(), PlotpCOpBICTW(), PlotpCOpBICWD(), pCOpBICAS(), pCOpBICLT(), pCOpBICSC(), pCOpBICTW(), pCOpBICWD()

Examples

n=5; alp=0.05;c=1/(2*n)
pCOpBICAll(n,alp,c)

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