Description Usage Arguments Value See Also

View source: R/zeitzeiger_predict.R

`zeitzeiger`

sequentially calls `zeitzeigerFit`

, `zeitzeigerSpc`

,
and `zeitzeigerPredict`

.

1 2 3 4 |

`xTrain` |
Matrix of measurements for training data, observations in rows and features in columns. |

`timeTrain` |
Vector of values of the periodic variable for training observations, where 0 corresponds to the lowest possible value and 1 corresponds to the highest possible value. |

`xTest` |
Matrix of measurements for test data, observations in rows and features in columns. |

`fitMeanArgs` |
List of arguments to pass to |

`constVar` |
Logical indicating whether to assume constant variance as a function of the periodic variable. |

`fitVarArgs` |
List of arguments to pass to |

`nTime` |
Number of time-points by which to discretize the time-dependent behavior of each feature. Corresponds to the number of rows in the matrix for which the SPCs will be calculated. |

`useSpc` |
Logical indicating whether to use |

`sumabsv` |
L1-constraint on the SPCs, passed to |

`orth` |
Logical indicating whether to require left singular vectors
be orthogonal to each other, passed to |

`nSpc` |
Vector of the number of SPCs to use for prediction. If |

`betaSv` |
Logical indicating whether to use the singular values of the SPCs as weights in the likelihood calculation. |

`timeRange` |
Vector of values of the periodic variable at which to calculate likelihood. The time with the highest likelihood is used as the initial value for the MLE optimizer. |

`fitResult` |
Result from |

`spcResult` |
Result from |

`predResult` |
Result from |

`zeitzeigerFit`

, `zeitzeigerSpc`

, `zeitzeigerPredict`

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