pCOpBIALR: p-Confidence and p-Bias estimation for adjusted Likelihood...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

p-Confidence and p-Bias estimation for adjusted Likelihood method

Usage

pCOpBIALR(n, alp, h)

Arguments

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

Details

Evaluation of adjusted Likelihood ratio limits using p-confidence and p-bias for the n + 1 intervals

Value

A dataframe with

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

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, pCOpBIAAll, pCOpBIALT, pCOpBIASC, pCOpBIATW, pCOpBIAWD

Examples

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

proportion documentation built on May 1, 2019, 7:54 p.m.