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>
License: GPL-3
NeedsCompilation: no
CRAN checks: kinn results

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Reference manual: kinn.pdf
Package source: kinn_0.2.tar.gz
Windows binaries: r-devel: kinn_0.2.zip, r-release: kinn_0.2.zip, r-oldrel: kinn_0.2.zip
OS X Mavericks binaries: r-release: kinn_0.2.tgz, r-oldrel: kinn_0.2.tgz
Old sources: kinn archive

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