Description Usage Arguments Details Value References See Also Examples

View source: R/642.PosteriorProbs_x.R

Bayesian posterior Probabilities

1 | ```
probPOSx(x, n, a, b, th)
``` |

`x` |
- Number of successes |

`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`

, `probPOS`

,
`probPREx`

, `probPRE`

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

RajeswaranV/proportion documentation built on May 9, 2017, 11:07 p.m.

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