Description Usage Arguments Value Author(s) References See Also

Makes predictions (either as the most likely state or as the conditional distributions) of variables conditional on finding (evidence) on other variables in an independence network.

1 2 3 |

`object` |
A grain object |

`response` |
A vector of response variables to make predictions on |

`predictors` |
A vector of predictor variables to make predictions from. Defaults to all variables that are note responses. |

`newdata` |
A data frame |

`type` |
If "class", the most probable class is returned; if "distribution" the conditional distrubtion is returned. |

`...` |
Not used |

A list with components

`pred` |
A list with the predictions |

`pFinding` |
A vector with the probability of the finding (evidence) on which the prediction is based |

S<c3><b8>ren H<c3><b8>jsgaard, [email protected]

S<c3><b8>ren H<c3><b8>jsgaard (2012). Graphical Independence Networks with the gRain Package for R. Journal of Statistical Software, 46(10), 1-26. http://www.jstatsoft.org/v46/i10/.

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