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ModTools  

Building Regression and Classification Models
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ModTools", "0.9.13")



Attach the package and use:
library("ModTools")
Maintained by
Andri Signorell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-07-26
Latest Update: 2024-09-30
Description:
Collection of tools for regression and classification tasks. The package implements a consistent user interface to the most popular regression and classification algorithms, such as random forest, neural networks, C5 trees and support vector machines, and complements it with a handful of auxiliary functions, such as variable importance and a tuning function for the parameters.
How to cite:
Andri Signorell (2021). ModTools: Building Regression and Classification Models. R package version 0.9.13, https://cran.r-project.org/web/packages/ModTools. Accessed 13 Jun. 2026.
Previous versions and publish date:
0.9.4 (2021-07-26 10:20), 0.9.6 (2024-01-24 01:52), 0.9.12 (2024-07-31 07:50)
Other packages that cited ModTools R package
View ModTools citation profile
Other R packages that ModTools depends, imports, suggests or enhances
Complete documentation for ModTools
Functions, R codes and Examples using the ModTools R package
Some associated functions: BestCut . BreuschPaganTest . CP . FitMod . LeafRates . LogitBoost . ModTools-package . Node . OverSample . PlotLift . ROC . RefLevel . Response . RobSummary . Rules . SplitTrainTest . TModC . Tune . VarImp . d.glass . d.pima . tobit . 
Some associated R codes: CoefTest.R . LogitBoost.R . ModTools.R . PlotLift.R . Tune.R . regression.R .  Full ModTools package functions and examples
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