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Information  

Data Exploration with Information Theory (Weight-of-Evidence and Information Value)
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("Information", "0.0.9")



Attach the package and use:
library("Information")
Maintained by
Larsen Kim
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2015-09-16
Latest Update: 2016-04-09
Description:
Performs exploratory data analysis and variable screening for binary classification models using weight-of-evidence (WOE) and information value (IV). In order to make the package as efficient as possible, aggregations are done in data.table and creation of WOE vectors can be distributed across multiple cores. The package also supports exploration for uplift models (NWOE and NIV).
How to cite:
Larsen Kim (2015). Information: Data Exploration with Information Theory (Weight-of-Evidence and Information Value). R package version 0.0.9, https://cran.r-project.org/web/packages/Information. Accessed 28 Oct. 2026.
Previous versions and publish date:
0.0.3 (2015-09-16 10:05), 0.0.4 (2015-10-01 11:13), 0.0.5 (2015-10-14 09:48), 0.0.6 (2015-11-13 08:55), 0.0.7 (2015-11-19 11:02), 0.0.8 (2016-03-26 15:17), (2026-07-09 08:07)
Other packages that cited Information R package
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Other R packages that Information depends, imports, suggests or enhances
Complete documentation for Information
Functions, R codes and Examples using the Information R package
Some associated functions: Aggregate . CheckInputs . Information . MultiPlot . NWOE . SinglePlot . WOE . create_infotables . is.binary . penalty . plot_infotables . train . valid . 
Some associated R codes: Aggregate.R . CheckInputs.R . Information.R . IsBinary.R . MultiPlot.R . NWOE.R . Penalty.R . SinglePlot.R . WOE.R . create_infotables.R . data.R . plot_infotables.R .  Full Information package functions and examples
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