LilRhino: For Implementation of Feed Reduction, Learning Examples and Code Management

This is for code management functions, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction <>. The Feed Reduction technique is not yet published, but is merely a tool for implementing a series of binary neural networks meant for reducing data into N dimensions, where N is the number of possible values of the response variable.

Version: 0.1.0
Imports: FNN, beepr, ggplot2, reshape2, keras, dplyr, e1071
Published: 2019-03-13
Author: Travis Barton (2018)
Maintainer: Travis Barton <travis.barton at>
License: GPL-2
NeedsCompilation: no
CRAN checks: LilRhino results


Reference manual: LilRhino.pdf
Package source: LilRhino_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: LilRhino_0.1.0.tgz, r-oldrel: LilRhino_0.1.0.tgz


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