Description Usage Arguments Details See Also Examples

View source: R/225.CoverageProb_GENERAL_SIMULATEDp.R

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

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

`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 |

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`

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)
``` |

proportion documentation built on May 29, 2017, 10:31 a.m.

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