kinn: An Implementation of 'kinn' Algorithm, a Graph Based Regression Model
Version 0.2

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.

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AuthorYossi Keshet
Date of publication2016-07-27 11:57:38
MaintainerYossi Keshet <jossiekat@icloud.com>
LicenseGPL-3
Version0.2
Package repositoryView on CRAN
InstallationInstall the latest version of this package by entering the following in R:
install.packages("kinn")

Man pages

kinn.plot: Plots model graphs and (optional) saves them as files in a...
kinn.predict: Predicts response vector using kinn model
kinn.train: Builds kinn regression model

Functions

kinn.plot Man page
kinn.predict Man page
kinn.train Man page

Files

NAMESPACE
R
R/kinn.R
vignettes
vignettes/kinn.Rmd
vignettes/illustration.png
MD5
DESCRIPTION
man
man/kinn.predict.Rd
man/kinn.train.Rd
man/kinn.plot.Rd
kinn documentation built on April 14, 2017, 10:02 a.m.