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binst  

Data Preprocessing, Binning for Classification and Regression
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("binst", "0.2.1")



Attach the package and use:
library("binst")
Maintained by
Chapman Siu
[Scholar Profile | Author Map]
First Published: 2016-05-20
Latest Update: 2018-01-05
Description:
Various supervised and unsupervised binning tools including using entropy, recursive partition methods and clustering.
How to cite:
Chapman Siu (2016). binst: Data Preprocessing, Binning for Classification and Regression. R package version 0.2.1, https://cran.r-project.org/web/packages/binst. Accessed 06 May. 2025.
Previous versions and publish date:
0.1.0 (2016-05-20 01:16), 0.2.0 (2016-06-17 08:18)
Other packages that cited binst R package
View binst citation profile
Other R packages that binst depends, imports, suggests or enhances
Complete documentation for binst
Functions, R codes and Examples using the binst R package
Some associated functions: create_bins . create_breaks . create_dtbreaks . create_earthbreaks . create_jenksbreaks . create_kmeansbreaks . create_mdlpbreaks . get_control . 
Some associated R codes: binst.R .  Full binst package functions and examples
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