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

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

pCOpBITWR Documentation

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

Description

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

Usage

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

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

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