View source: R/411.p-Confidence_p-Bias_ADJ_All.R
pCOpBIATW | R Documentation |
p-Confidence and p-Bias estimation for adjusted Wald-T method
pCOpBIATW(n, alp, h)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
h |
- Adding factor |
Evaluation of approximate Wald method based on a t_approximation of the standardized point estimator using p-confidence and p-bias for the n + 1 intervals
A dataframe with
x1 |
Number of successes (positive samples) |
pconf |
p-Confidence |
pbias |
p-Bias |
[1] 2005 Vos PW and Hudson S. Evaluation Criteria for Discrete Confidence Intervals: Beyond Coverage and Length. The American Statistician: 59; 137 - 142.
Other p-confidence and p-bias of adjusted methods:
PlotpCOpBIAAS()
,
PlotpCOpBIAAll()
,
PlotpCOpBIALR()
,
PlotpCOpBIALT()
,
PlotpCOpBIASC()
,
PlotpCOpBIATW()
,
PlotpCOpBIAWD()
,
pCOpBIAAS()
,
pCOpBIAAll()
,
pCOpBIALR()
,
pCOpBIALT()
,
pCOpBIASC()
,
pCOpBIAWD()
n=5; alp=0.05;h=2 pCOpBIATW(n,alp,h)
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