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

Description Usage Arguments Details Value References See Also Examples

View source: R/411.p-Confidence_p-Bias_ADJ_All.R

Description

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

Usage

1
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

1
2
n=5; alp=0.05;h=2
pCOpBIALR(n,alp,h)

proportion documentation built on May 29, 2017, 10:31 a.m.

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