covpGEN: General Coverage Probability given hypothetical "p" Coverage...

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

General Coverage Probability given hypothetical "p" Coverage probability for CI obtained from any method and discrete hypothetical p

Description

General Coverage Probability given hypothetical "p" Coverage probability for CI obtained from any method and discrete hypothetical p

Usage

covpGEN(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

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

Value

A dataframe with

mcp	Mean Coverage Probability
micp	Minimum coverage probability
RMSE_N	Root Mean Square Error from nominal size
RMSE_M	Root Mean Square Error for Mean Coverage Probability
RMSE_MI	Root Mean Square Error for minimum coverage probability
tol	Required tolerance for coverage probability

See Also

Other General methods for coverage probability: PlotcovpGEN()

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

## End(Not run)

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