PlotcovpALT: Plots the Coverage Probability using adjusted Logistic Wald...

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

Plots the Coverage Probability using adjusted Logistic Wald method

Description

Plots the Coverage Probability using adjusted Logistic Wald method

Usage

PlotcovpALT(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 adjusted Logistic Wald method for n given alp, h, a, b, t1 and t2 using all the methods

See Also

Other Coverage probability of adjusted methods: PlotcovpAAS(), PlotcovpAAll(), PlotcovpALR(), 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
PlotcovpALT(n,alp,h,a,b,t1,t2)

## End(Not run)

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