Description Usage Arguments Value Examples

Fit binary logistic regression models using MLE or penalized MLE. All the dependent variables are modeled using selected independent variables automatically. Multi-colliearity is removed in the final models using correlation analysis.

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`data` |
The data. It must contain the variables (columns) that should be used, directly or indirectly, in the modelling procedures. Missing values (NA) are allowed. |

`DVList` |
Dependent variables list which are needed to be modelled. |

`IDVList` |
Independent variables list used to model dependent variables. |

`Included` |
A variable list whose elements are forced to be included in the models, no matter variable selection is conducted or not. Default: NULL. |

`all` |
Logical. If TRUE, the function will not do variables selection, only model fitting will be done. Default: FALSE. |

A list data structure which contains model results.

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yangx227/SimmonsResearchR documentation built on Oct. 5, 2017, 4:09 p.m.

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