Package: LilRhino
Type: Package
Title: For Implementation of Feed Reduction, Learning Examples, NLP and
        Code Management
Version: 1.2.0
Author: Travis Barton (2018) 
Maintainer: Travis Barton <tbarton@csumb.edu>
Description: This is for code management functions, NLP tools, 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.
License: GPL-2
Encoding: UTF-8
LazyData: true
Imports: FNN, stringi, beepr, ggplot2, keras, dplyr, readr, parallel,
        textclean, tm, e1071, SnowballC, data.table, fastmatch,
        neuralnet
NeedsCompilation: no
Packaged: 2019-10-31 00:25:03 UTC; tbarton
Repository: CRAN
Date/Publication: 2019-10-31 15:00:02 UTC
Built: R 3.6.3; ; 2021-05-13 00:24:51 UTC; windows
