Description Usage Arguments Details Value References See Also Examples

View source: R/641.PosteriorProbs.R

Bayesian posterior Probabilities

1 | ```
probPOS(n, a, b, th)
``` |

`n` |
- Number of trials |

`a` |
- Prior Parameters |

`b` |
- Prior Parameters |

`th` |
- Theta value seeking Pr(Theta/X < th) |

Computes probability of the event *p < p0* (p0 is specified in [0, 1]) based
on posterior distribution of Beta-Binomial model with given parameters for prior Beta
distribution for all *x = 0, 1, 2......n * where `n`

is the number of trials

A dataframe with

`x` |
Number of successes |

`PosProb` |
Posterior probability |

[1] 2002 Gelman A, Carlin JB, Stern HS and Dunson DB Bayesian Data Analysis, Chapman & Hall/CRC [2] 2006 Ghosh M, Delampady M and Samanta T. An introduction to Bayesian analysis: Theory and Methods. Springer, New York

Other Miscellaneous functions for Bayesian method: `empericalBAx`

,
`empericalBA`

, `probPOSx`

,
`probPREx`

, `probPRE`

1 2 | ```
n=5; a=0.5; b=0.5; th=0.5;
probPOS(n,a,b,th)
``` |

```
x PosProb
1 0 0.993127696
2 1 0.912287200
3 2 0.669765259
4 3 0.330234727
5 4 0.087712909
6 5 0.006872303
```

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

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