pCOpBIGEN: Performs p-Confidence and p-Bias estimation only using n,...

In RajeswaranV/proportion: Inference on Single Binomial Proportion and Bayesian Computations

Performs p-Confidence and p-Bias estimation only using n, lower limit and upper limit for general method

Description

Performs p-Confidence and p-Bias estimation only using n, lower limit and upper limit for general method

Usage

pCOpBIGEN(n, LL, UL)

Arguments

n	- Number of trials
LL	- Lower limit
UL	- Upper limit

Details

Evaluation of intervals obtained from any method 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] 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.

See Also

Other General methods for p-Confidence and p-Bias: PlotpCOpBIGEN()

Examples

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)

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