pCOpBITW: p-confidence and p-bias for T-Wald method given n and alpha...

Description Usage Arguments Details Value References See Also Examples

View source: R/401.p-Confidence_p-Bias_BASE_All.R

Description

p-confidence and p-bias for T-Wald method given n and alpha level

Usage

1
pCOpBITW(n, alp)

Arguments

n

- Number of trials

alp

- Alpha value (significance level required)

Details

Evaluation of approximate method based on a t_approximation of the standardized point estimator 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 base methods: PlotpCOpBIAS, PlotpCOpBIAll, PlotpCOpBIBA, PlotpCOpBIEX, PlotpCOpBILR, PlotpCOpBILT, PlotpCOpBISC, PlotpCOpBITW, PlotpCOpBIWD, pCOpBIAS, pCOpBIAll, pCOpBIBA, pCOpBIEX, pCOpBILR, pCOpBILT, pCOpBISC, pCOpBIWD

Examples

1
2
n=5; alp=0.05
pCOpBITW(n,alp)

RajeswaranV/proportion documentation built on May 9, 2017, 11:07 p.m.