Description Usage Arguments Value Author(s) See Also

This function will take the frequency-ranked of variables and the list of models to create a single bagged model

1 2 3 4 5 6 7 8 9 10 11 |

`modelFormulas` |
The name of the column in |

`data` |
A data frame with two columns. The first one must have the names of the candidate variables and the other one the description of such variables |

`type` |
Fit type: Logistic ("LOGIT"), linear ("LM"), or Cox proportional hazards ("COX") |

`Outcome` |
The name of the column in |

`timeOutcome` |
The name of the column in |

`frequencyThreshold` |
set the frequency the threshold of the frequency of features to be included in the model) |

`univariate` |
The FFRESA.CAD univariate analysis matrix |

`useFreq` |
Use the feature frequency to order the formula terms. If set to a positive value is the number of estimation loops |

`n_bootstrap` |
if greater than 1, defines the number of bootstraps samples to be used |

`equifreqCorrection` |
Indicates the average size of repeated features in an equivalent model |

`bagged.model` |
the bagged model |

`formula` |
the formula of the model |

`frequencyTable` |
the table of variables ranked by their model frequency |

`faverageSize` |
the average size of the models |

`formulaNetwork` |
The matrix of interaction between formulas |

`Jaccard.SM` |
The Jaccard Stability Measure of the formulas |

`coefEvolution` |
The evolution of the coefficients |

`avgZvalues` |
The average Z value of each coefficient |

`featureLocation` |
The average location of the feature in the formulas |

Jose G. Tamez-Pena

Embedding an R snippet on your website

Add the following code to your website.

For more information on customizing the embed code, read Embedding Snippets.