View source: R/423.p-Confidence_p-Bias_GENERAL.R
pCOpBIGEN | R Documentation |
Performs p-Confidence and p-Bias estimation only using n, lower limit and upper limit for general method
pCOpBIGEN(n, LL, UL)
n |
- Number of trials |
LL |
- Lower limit |
UL |
- Upper limit |
Evaluation of intervals obtained from any method using p-confidence and p-bias for the n + 1 intervals
A dataframe with
Number of successes (positive samples)
p-Confidence
p-Bias
[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.
[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.
[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.
Other General methods for p-Confidence and p-Bias:
PlotpCOpBIGEN()
LL=c(0,0.01,0.0734,0.18237,0.3344,0.5492) #Lower and Upper Limits UL=c(0.4507,0.6655,0.8176,0.9265,0.9899,1) n=5; pCOpBIGEN(n,LL,UL)
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