Description Usage Arguments Details Value References See Also Examples

View source: R/621.Poster_Predictive.R

The Predicted probability - Bayesian approach

1 | ```
probPRE(n, m, a1, a2)
``` |

`n` |
- Number of trials from data |

`m` |
- Future :Number of trials |

`a1` |
- Beta Prior Parameters for Bayesian estimation |

`a2` |
- Beta Prior Parameters for Bayesian estimation |

Computes posterior predictive probabilities for the required size of number of
trials `m`

from the given number of trials `n`

for the given parameters for Beta prior
distribution

A matrix of probability values between [0,1]

`predicted_probability ` |
- The predicted probability |

`0:n` |
The number of columns based on the value of n |

[1] 2002 Gelman A, Carlin JB, Stern HS and Dunson DB Bayesian Data Analysis, Chapman & Hall/CRC

Other Miscellaneous functions for Bayesian method: `empericalBAx`

,
`empericalBA`

, `probPOSx`

,
`probPOS`

, `probPREx`

1 2 | ```
n=10; m=5; a1=0.5; a2=0.5
probPRE(n,m,a1,a2)
``` |

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

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