# LogicForest v2.1.0

0

Monthly downloads

## Logic Forest

Two classification ensemble methods based on logic regression models. LogForest uses a bagging approach to construct an ensemble of logic regression models. LBoost uses a combination of boosting and cross-validation to construct an ensemble of logic regression models. Both methods are used for classification of binary responses based on binary predictors and for identification of important variables and variable interactions predictive of a binary outcome.

## Functions in LogicForest

Name | Description | |

CV.data | Internal Logic Forest Functions | |

LBoost.fit | Example of a LBoost Model | |

Pred.imp | Internal Logic Forest Functions | |

Perms | Internal Logic Forest Functions | |

LBoost | LBoost | |

LF.data | Example Data for Logic Forest and LBoost | |

CV.err | Internal Logic Forest Functions | |

logforest.fit | Example of a Logic Forest Model | |

subs | Internal Logic Forest Functions | |

CV.ids | Internal Logic Forest Functions | |

LF.testdata | Example of New Test Data for Prediction in Logic Forest and LBoost | |

persistence.prep | Internal Logic forest Functions | |

Perm.PIimp | Internal Logic Forest Functions | |

PlusMinus.PIimp | Internal Logic Forest Functions | |

persist.match | Internal Logic Forest Functions | |

predict.logforest | Prediction of Response Using Logic Forest | |

vimp.plot | Variable and Interaction Importance Plots for a Logic Forest Model | |

predict.LBoost | Prediction of Response Using LBoost | |

BoostVimp.plot | Variable and Interaction Importance Plots for a LBoost Model | |

print.LFprediction | Prints Logic Forest Prediction Output | |

print.LBoost | Prints Output for and LBoost Model | |

submatch.plot | Plot of Variable/Interaction Frequency | |

p.combos | Internal Logic Forest Functions | |

list.PIs | Internal Logic Forest Functions | |

ada.pred | Internal Logic Forest Functions | |

prime.imp | Internal Logic Forest Functions | |

pimp.mat | Internal Logic Forest Functions | |

pimp.import | Internal Logic Forest Functions | |

print.logforest | Prints Output for a Logic Forest Model | |

proportion.positive | Internal Logic Forest Functions | |

TTab | Internal Logic Forest Functions | |

ada.weights | Internal Logic Forest Functions | |

LBoost.PIs | Internal Logic Forest Functions | |

LogicForest-package | Logic Forest | |

persistence.plot | Plot Persistence of a Variable of Interaction | |

logforest | Logic Forest | |

No Results! |

## Last month downloads

## Details

Type | Package |

Date | 2014-09-18 |

License | GPL-2 |

Packaged | 2014-09-18 18:56:11 UTC; wolfb |

NeedsCompilation | no |

Repository | CRAN |

Date/Publication | 2014-09-19 00:46:31 |

depends | base (>= 2.10) , CircStats , LogicReg , R (>= 2.10) |

imports | gtools , plotrix |

Contributors | Bethany Wolf |

#### Include our badge in your README

```
[![Rdoc](http://www.rdocumentation.org/badges/version/LogicForest)](http://www.rdocumentation.org/packages/LogicForest)
```