PlotcovpGEN: Plot of simulation based Coverage Probability with discrete...
In proportion: Inference on Single Binomial Proportion and Bayesian Computations

Description Usage Arguments Details See Also Examples

View source: R/224.CoverageProb_GENERAL_GIVEN_p.R

Plot of simulation based Coverage Probability with discrete values for p

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

`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

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

Other General methods for coverage probability: covpGEN

## 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)