Description Usage Arguments Value

View source: R/predictiveStats.R

Evaluates the predictive posterior probability of T > T_obs for various statistics.

1 2 | ```
predictiveStats(model, fname = NULL, whichSamples,
additionalArgs = list(win = owin(), R = 0.005, R_c = 0.02), ...)
``` |

`model` |
An fitmat3 object (resulting from a call to fitmat3) |

`fname` |
If the MCMC samples were saved into text files, this can be used to generate predictive probabilities from them. Defaults to NULL. |

`whichSamples` |
Which (and how many) samples to collect in order to generate the predictive probabilities. Must be smaller than the number of MCMC samples. |

`additionalArgs` |
additional arguments to be passed to rmat3() (if read from text files, it is necessary to provide a list with window, R and R_c). |

`predictiveStats`

returns a list containing at least the following components

`pL` |
predictive probability for the expected number of centers |

`pRc` |
predictive probability for the number of fingers within R_centers distance of other centers |

`pnx` |
predictive probability for the average number of fingers |

`psx` |
predictive probability for the standard deviation of the number of fingers |

`chx` |
predictive probability for the mean area of the convex hull of fingers (reactive territory) |

`spx` |
predictive probability for the spanned angle of fingers |

`mdx` |
predictive probability for the average of minimum distance between fingers |

`adx` |
predictive probability for the average of average distance between fingers |

`cex` |
predictive probability for the average distance between centers |

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