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LilRhino  

For Implementation of Feed Reduction, Learning Examples, NLP and Code Management
View on CRAN: Click here


Download and install LilRhino package within the R console
Install from CRAN:
install.packages("LilRhino")

Install from Github:
library("remotes")
install_github("cran/LilRhino")

Install by package version:
library("remotes")
install_version("LilRhino", "1.2.2")



Attach the package and use:
library("LilRhino")
Maintained by
Travis Barton
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-03-13
Latest Update: 2022-04-27
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.
How to cite:
Travis Barton (2019). LilRhino: For Implementation of Feed Reduction, Learning Examples, NLP and Code Management. R package version 1.2.2, https://cran.r-project.org/web/packages/LilRhino. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2019-03-13 12:44), 1.1.0 (2019-07-19 11:30), 1.2.0 (2019-10-31 16:00), 1.2.1 (2022-01-28 00:20)
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Complete documentation for LilRhino
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