PlotcovpGEN: Plot of simulation based Coverage Probability with discrete...

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

Plot of simulation based Coverage Probability with discrete values for p

Description

Plot of simulation based Coverage Probability with discrete values for p

Usage

PlotcovpGEN(n, LL, UL, alp, hp, t1, t2)

Arguments

n	- Number of trials
LL	- Lower limit
UL	- Upper limit
alp	- Alpha value (significance level required)
hp	- Hypothetical "p"
t1	- Lower tolerance limit to check the spread of coverage Probability
t2	- Upper tolerance limit to check the spread of coverage Probability

Details

Graphical evaluation of intervals obtained from any method using coverage probability, root mean square statistic, and the proportion of proportion lies within the desired level of coverage for the n + 1 intervals and pre-defined space for the parameter p

See Also

Other General methods for coverage probability: covpGEN()

Examples

## Not run: 
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)
hp=seq(0,1,by=0.0001)
n= 5; alp=0.05; t1=0.93; t2=0.97
PlotcovpGEN(n,LL,UL,alp,hp,t1,t2)

## End(Not run)

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