View source: R/421.p-Confidence_p-Bias_CC_All.R
pCOpBICLT | R Documentation |
p-Confidence and p-Bias estimation for continuity corrected Logit Wald method
pCOpBICLT(n, alp, c)
n |
- Number of trials |
alp |
- Alpha value (significance level required) |
c |
- Continuity correction |
Evaluation of continuity corrected Wald-type interval based on the logit
transformation of p
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 continuity corrected methods:
PlotpCOpBICAS()
,
PlotpCOpBICAll()
,
PlotpCOpBICLT()
,
PlotpCOpBICSC()
,
PlotpCOpBICTW()
,
PlotpCOpBICWD()
,
pCOpBICAS()
,
pCOpBICAll()
,
pCOpBICSC()
,
pCOpBICTW()
,
pCOpBICWD()
n=5; alp=0.05;c=1/(2*n) pCOpBICLT(n,alp,c)
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