Description Usage Arguments Details Value References See Also Examples

View source: R/221.CoverageProb_CC_All.R

Coverage Probability of Continuity corrected Wald method

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`n` |
- Number of trials |

`alp` |
- Alpha value (significance level required) |

`c` |
- Continiuty correction |

`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 |

Evaluation of Wald-type interval with continuity correction using coverage probability, root mean square statistic, and the proportion of proportion lies within the desired level of coverage

A dataframe with

`mcpCW` |
Continuity corrected Wald Coverage Probability |

`micpCW ` |
Continuity corrected Wald minimum coverage probability |

`RMSE_N ` |
Root Mean Square Error from nominal size |

`RMSE_M ` |
Root Mean Square Error for Coverage Probability |

`RMSE_MI ` |
Root Mean Square Error for minimum coverage probability |

`tol ` |
Required tolerance for coverage probability |

[1] 1998 Agresti A and Coull BA. Approximate is better than "Exact" for interval estimation of binomial proportions. The American Statistician: 52; 119 - 126.

[2] 1998 Newcombe RG. Two-sided confidence intervals for the single proportion: Comparison of seven methods. Statistics in Medicine: 17; 857 - 872.

[3] 2008 Pires, A.M., Amado, C. Interval Estimators for a Binomial Proportion: Comparison of Twenty Methods. REVSTAT - Statistical Journal, 6, 165-197.

Other Coverage probability for continuity corrected methods: `PlotcovpCAS`

,
`PlotcovpCAll`

, `PlotcovpCLT`

,
`PlotcovpCSC`

, `PlotcovpCTW`

,
`PlotcovpCWD`

, `covpCAS`

,
`covpCAll`

, `covpCLT`

,
`covpCSC`

, `covpCTW`

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