This is for code management functions, a Monty Hall simulator, and for implementing my own variable reduction technique called Feed Reduction <http://wbbpredictions.com/wp-content/uploads/2018/12/Redditbot_Paper.pdf>. 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 sjsu.edu> |
| 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: LilRhino_0.1.0.zip, r-release: LilRhino_0.1.0.zip, r-oldrel: LilRhino_0.1.0.zip |
| OS X binaries: | r-release: LilRhino_0.1.0.tgz, r-oldrel: LilRhino_0.1.0.tgz |
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