Description Usage Arguments Details Value References See Also Examples

View source: R/411.p-Confidence_p-Bias_ADJ_All.R

p-Confidence and p-Bias estimation for adjusted Wald-T method

1 | ```
pCOpBIATW(n, alp, h)
``` |

`n` |
- Number of trials |

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

`h` |
- Adding factor |

Evaluation of approximate Wald method based on a t_approximation
of the standardized point estimator using p-confidence and p-bias for the *n + 1* intervals

A dataframe with

`x1` |
Number of successes (positive samples) |

`pconf ` |
p-Confidence |

`pbias ` |
p-Bias |

[1] 2005 Vos PW and Hudson S. Evaluation Criteria for Discrete Confidence Intervals: Beyond Coverage and Length. The American Statistician: 59; 137 - 142.

Other p-confidence and p-bias of adjusted methods: `PlotpCOpBIAAS`

,
`PlotpCOpBIAAll`

,
`PlotpCOpBIALR`

, `PlotpCOpBIALT`

,
`PlotpCOpBIASC`

, `PlotpCOpBIATW`

,
`PlotpCOpBIAWD`

, `pCOpBIAAS`

,
`pCOpBIAAll`

, `pCOpBIALR`

,
`pCOpBIALT`

, `pCOpBIASC`

,
`pCOpBIAWD`

1 2 | ```
n=5; alp=0.05;h=2
pCOpBIATW(n,alp,h)
``` |

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