PlotcovpAAll: Plots the Coverage Probability using 6 adjusted methods...

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

Plots the Coverage Probability using 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Description

Plots the Coverage Probability using 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine)

Usage

PlotcovpAAll(n, alp, h, a, b, t1, t2)

Arguments

n	- Number of trials
alp	- Alpha value (significance level required)
h	- Adding factor
a	- Beta parameters for hypo "p"
b	- Beta parameters for hypo "p"
t1	- Lower tolerance limit to check the spread of coverage Probability
t2	- Upper tolerance limit to check the spread of coverage Probability

Details

The plots of the Coverage Probability of 6 adjusted methods (Wald, Wald-T, Likelihood, Score, Logit-Wald, ArcSine) for n given alp, h, a, b, t1 and t2 using all the methods

See Also

Other Coverage probability of adjusted methods: PlotcovpAAS(), PlotcovpALR(), PlotcovpALT(), PlotcovpASC(), PlotcovpATW(), PlotcovpAWD(), covpAAS(), covpAAll(), covpALR(), covpALT(), covpASC(), covpATW(), covpAWD()

Examples

## Not run: 
n= 10; alp=0.05; h=2;a=1;b=1; t1=0.93;t2=0.97
PlotcovpAAll(n,alp,h,a,b,t1,t2)

## End(Not run)

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