Inference on Single Binomial Proportion and Bayesian Computations

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Plots the Coverage Probability using adjusted Logistic Wald method

1 | ```
PlotcovpALT(n, alp, h, a, b, t1, t2)
``` |

`n` |
- Number of trials |

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

`h` |
- Adding factor |

`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 |

The plots of the Coverage Probability of
adjusted Logistic Wald method for `n`

given `alp`

, `h`

, `a`

, `b`

, `t1`

and `t2`

using all the methods

Other Coverage probability of adjusted methods: `PlotcovpAAS`

,
`PlotcovpAAll`

, `PlotcovpALR`

,
`PlotcovpASC`

, `PlotcovpATW`

,
`PlotcovpAWD`

, `covpAAS`

,
`covpAAll`

, `covpALR`

,
`covpALT`

, `covpASC`

,
`covpATW`

, `covpAWD`

1 2 3 4 5 | ```
## Not run:
n= 10; alp=0.05; h=2;a=1;b=1; t1=0.93;t2=0.97
PlotcovpALT(n,alp,h,a,b,t1,t2)
## End(Not run)
``` |

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