# PlotcovpSIM: Plots graph of simulation based Coverage Probability with... In proportion: Inference on Single Binomial Proportion and Bayesian Computations

## Description

Plots graph of simulation based Coverage Probability with simulated p in [0,1]

## Usage

 `1` ```PlotcovpSIM(n, LL, UL, alp, s, a, b, t1, t2) ```

## Arguments

 `n` - Number of trials `LL` - Lower limit `UL` - Upper limit `alp` - Alpha value (significance level required) `s` - Number of hypothetical "p" `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

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` using Monte Carle simulation

Other Simulated methods for coverage probability: `covpSIM`

## Examples

 ```1 2 3 4 5 6 7``` ```## 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) n= 5; alp=0.05; s=5000; a=1; b=1; t1=0.93; t2=0.97 PlotcovpSIM(n,LL,UL,alp,s,a,b,t1,t2) ## End(Not run) ```

### Example output ```
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proportion documentation built on May 1, 2019, 7:54 p.m.