Implements the Forest-R.K. Algorithm for Classification Problems

bstrap | Performs bootstrap sampling of the (training) dataset |

construct.treeRK | Constructs a classification tree on the (training) dataset,... |

criteria.after.split.calculator | Calculates Entropy or Gini Index of a node after a given... |

criteria.calculator | Calculates Entropy or Gini Index of a particular node before... |

cutoff.node.and.covariate.index.finder | Identifies optimal cutoff point of an impure node for... |

draw.treeRK | Creates a 'igraph' plot of a 'rktree' |

ends.index.finder | Identifies numerical indices of the end nodes of a 'rktree'... |

forestRK | Builds up a random forest RK model based on the given... |

get.tree.forestRK | Extracts the structure of one or more trees in a forestRK... |

importance.forestRK | Calculates Gini Importance or Mean Decrease Impurity (same... |

importance.plot.forestRK | Generates importance 'ggplot' of the covariates considered in... |

mds.plot.forestRK | Makes 2D MDS (multidimensional scaling) 'ggplot' of the test... |

pred.forestRK | Make predictions on the test data based on the forestRK model... |

pred.treeRK | Make predictions on the test observations based on a rktree... |

var.used.forestRK | Extract the list of covariates used to perform the splits to... |

x.organizer | Numericizing a data frame of covariates from the original... |

y.organizer | Numericize the vector containing categorical class type('y')... |

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