Package: LilRhino
Type: Package
Title: For Implementation of Feed Reduction, Learning Examples, NLP and
        Code Management
Version: 1.2.2
Author: Travis Barton (2018) 
Maintainer: Travis Barton <travisdatabarton@gmail.com>
Description: This is for code management functions, NLP tools, 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.
License: GPL-2
Encoding: UTF-8
Suggests: textclean
Imports: FNN, stringi, beepr, ggplot2, keras, dplyr, readr, parallel,
        tm, e1071, SnowballC, data.table, fastmatch, neuralnet
NeedsCompilation: no
Packaged: 2022-04-27 20:27:08 UTC; travisbarton
Repository: CRAN
Date/Publication: 2022-04-27 22:10:14 UTC
Built: R 4.6.0; ; 2026-04-26 19:27:12 UTC; unix
