## kinn: An Implementation of 'kinn' Algorithm, a Graph Based Regression
Model

A graph based regression model from flat unstructured dataset.
Each line in the input data set is treated as a node from which an edge to another line (node) can be formed.
In the training process, a model is created which contains sparse graph adjacency matrix.
This model is then used for prediction by taking a predictor and the model as inputs and outputs
a prediction which is an average of the most similar node and its neighbours in the model graph.

Version: |
0.2 |

Depends: |
R (≥ 3.2.4) |

Imports: |
stringr, igraph, KRLS, caTools, mclust, caret, stats, graphics |

Published: |
2016-07-27 |

Author: |
Yossi Keshet |

Maintainer: |
Yossi Keshet <jossiekat at icloud.com> |

BugReports: |
NA |

License: |
GPL-3 |

URL: |
NA |

NeedsCompilation: |
no |

CRAN checks: |
kinn results |

#### Downloads: