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

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

Calculates error, long term power and pass/fail criteria for continuity corrected ArcSine method

Description

Calculates error, long term power and pass/fail criteria for continuity corrected ArcSine method

Usage

errCAS(n, alp, phi, c, f)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
phi	- Null hypothesis value
c	- Continuity correction
f	- Failure criterion

Details

Evaluation of continuity corrected Wald-type interval for the arcsine transformation of the parameter p 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

See Also

Other Error for continuity corrected methods: PloterrCAS(), PloterrCAll(), PloterrCLT(), PloterrCSC(), PloterrCTW(), PloterrCWD(), errCAll(), errCLT(), errCSC(), errCTW(), errCWD()

Examples

n=5; alp=0.05; phi=0.05;c=1/(2*n); f=-2
errCAS(n,alp,phi,c,f)

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