errGEN: Calculates error, long term power and pass/fail criteria for...

In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description

Calculates error, long term power and pass/fail criteria for CI obtained from any method

Usage

errGEN(n, LL, UL, alp, phi, f)

Arguments

n	- Number of trials
LL	- Lower limit
UL	- Upper limit
alp	- Alpha value (significance level required)
phi	- Null hypothesis value
f	- Failure criterion

Details

Evaluation of intervals obtained from any method using error due to the difference of achieved and nominal level of significance for the n + 1 intervals

Value

A dataframe with

delalp	Delta-alpha is the increase of the nominal error with respect to real error
theta	Long term power of the test
Fail_Pass	Fail/pass based on the input f criterion

References

[1] 2014 Martin Andres, A. and Alvarez Hernandez, M. Two-tailed asymptotic inferences for a proportion. Journal of Applied Statistics, 41, 7, 1516-1529

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; alp=0.05;phi=0.05; f=-2
errGEN(n,LL,UL,alp,phi,f)

proportion documentation built on May 1, 2019, 7:54 p.m.