Description Usage Arguments Value Author(s)

View source: R/FRESAModelingFunctions.R

Sequential application of feature selection method followed by a fitting algorithm

1 2 3 4 5 6 7 8 | ```
filteredFit(formula = formula,
data=NULL,
filtermethod=univariate_Wilcoxon,
fitmethod=e1071::svm,
filtermethod.control=list(pvalue=0.10,limit=0.1),
...
)
``` |

`formula` |
the base formula to extract the outcome |

`data` |
the data to be used for training the KNN method |

`filtermethod` |
the method for feature selection |

`fitmethod` |
the fit function to be used |

`filtermethod.control` |
the set of parameters required by the feature selection function |

`...` |
parameters for the fitting function |

`fit` |
The fitted model |

`filter` |
The output of the feature selection function |

`selectedfeatures` |
The character vector with all the selected features |

`usedFeatures` |
The set of features used for training |

`parameters` |
The parameters passed to the fitting method |

`asFactor` |
Indicates if the fitting was to a factor |

`classLen` |
The number of possible outcomes |

Jose G. Tamez-Pena

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