pCOpBIAll: Calculates p-confidence and p-bias for a given n and alpha...

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

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)

Description

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)

Usage

pCOpBIAll(n, alp)

Arguments

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

Details

Evaluation of p-confidence and p-bias for the n + 1 intervals using 6 base 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

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 base methods: PlotpCOpBIAS(), PlotpCOpBIAll(), PlotpCOpBIBA(), PlotpCOpBIEX(), PlotpCOpBILR(), PlotpCOpBILT(), PlotpCOpBISC(), PlotpCOpBITW(), PlotpCOpBIWD(), pCOpBIAS(), pCOpBIBA(), pCOpBIEX(), pCOpBILR(), pCOpBILT(), pCOpBISC(), pCOpBITW(), pCOpBIWD()

Examples

n=5; alp=0.05
pCOpBIAll(n,alp)

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