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LilRhino
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
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[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 23 Sep. 2026.
Previous versions and publish date:
Other packages that cited LilRhino R package
View LilRhino citation profile
Other R packages that LilRhino depends,
imports, suggests or enhances
Complete documentation for LilRhino
Functions, R codes and Examples using
the LilRhino R package
Some associated functions: Binary_Network . Bootstrap_Data_Frame . Bootstrap_Vocab . Codes_done . Cross_val_maker . Feed_Reduction . Load_Glove_Embeddings . Monty_Hall . Nearest_Centroid . Num_Al_Sep . Percent . Pretreatment . Random_Brains . Sentence_Vector . Stopword_Maker . Table_percent . Vector_Puller .
Some associated R codes: Personal_Functions.R . Full LilRhino package functions and examples
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