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mob  

Monotonic Optimal Binning
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("mob", "0.4.2")



Attach the package and use:
library("mob")
Maintained by
WenSui Liu
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2020-02-29
Latest Update: 2021-07-31
Description:
Generate the monotonic binning and perform the woe (weight of evidence) transformation for the logistic regression used in the consumer credit scorecard development. The woe transformation is a piecewise transformation that is linear to the log odds. For a numeric variable, all of its monotonic functional transformations will converge to the same woe transformation.
How to cite:
WenSui Liu (2020). mob: Monotonic Optimal Binning. R package version 0.4.2, https://cran.r-project.org/web/packages/mob. Accessed 22 Dec. 2024.
Previous versions and publish date:
0.1.0 (2020-02-29 13:30), 0.2.0 (2020-07-05 06:20), 0.2.1 (2020-07-06 11:20), 0.3 (2020-11-02 06:10), 0.4.1 (2021-04-05 06:10), 0.4 (2021-02-17 19:50)
Other packages that cited mob R package
View mob citation profile
Other R packages that mob depends, imports, suggests or enhances
Complete documentation for mob
Functions, R codes and Examples using the mob R package
Some associated functions: arb_bin . bad_bin . batch_bin . batch_woe . cal_woe . gbm_bin . hmeq . iso_bin . kmn_bin . pool_bin . qcut . qtl_bin . rng_bin . 
Some associated R codes: add_miss.R . arb_bin.R . bad_bin.R . batch_bin.R . batch_woe.R . cal_woe.R . data.R . gbm_bin.R . gen_woe.R . gen_woe2.R . iso_bin.R . kmn_bin.R . manual_bin.R . pool_bin.R . qcut.R . qtl_bin.R . rng_bin.R .  Full mob package functions and examples
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