Other packages > Find by keyword >

ebm  

Explainable Boosting Machines
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("ebm", "0.1.0")



Attach the package and use:
library("ebm")
Maintained by
Brandon M. Greenwell
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-03-05
Latest Update: 2025-03-05
Description:
An interface to the 'Python' 'InterpretML' framework for fitting explainable boosting machines (EBMs); see Nori et al. (2019) <doi:10.48550/arXiv.1909.09223> for details. EBMs are a modern type of generalized additive model that use tree-based, cyclic gradient boosting with automatic interaction detection. They are often as accurate as state-of-the-art blackbox models while remaining completely interpretable.
How to cite:
Brandon M. Greenwell (2025). ebm: Explainable Boosting Machines. R package version 0.1.0, https://cran.r-project.org/web/packages/ebm. Accessed 05 Aug. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited ebm R package
View ebm citation profile
Other R packages that ebm depends, imports, suggests or enhances
Complete documentation for ebm
Functions, R codes and Examples using the ebm R package
Full ebm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

kernelPSI  
Post-Selection Inference for Nonlinear Variable Selection
Different post-selection inference strategies for kernelselection as described in kernelPSI a Post-S ...
Download / Learn more Package Citations See dependency  
dcov  
A Fast Implementation of Distance Covariance
Efficient methods for computing distance covariance and relevant statistics. See Sz ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
dhReg  
Dynamic Harmonic Regression
Building and forecasting time series data with multiple seasonality using Dynamic Harmonic Regressio ...
Download / Learn more Package Citations See dependency  
noisyr  
Noise Quantification in High Throughput Sequencing Output
Quantifies and removes technical noise from high-throughput sequencing data. Two approaches are use ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA