Other packages > Find by keyword >

fastgbm  

Fast Histogram Gradient Boosting for Regression, Classification, and Survival Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("fastgbm", "0.6.1")



Attach the package and use:
library("fastgbm")
Maintained by
Imad El Badisy
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2026-09-01
Latest Update: 2026-09-01
Description:
A fast gradient boosting machine covering four task types with one interface: regression (squared error), binary and multiclass classification (logistic and one-vs-rest), and right-censored survival analysis via Cox (Breslow ties), accelerated failure time (normal location-scale), or piecewise-exponential objectives. Provides native missing-value routing, baseline-hazard estimation and survival-probability prediction for the survival objectives, and deterministic multi-threaded training via 'RcppParallel'. Methods are described in Friedman (2001) <doi:10.1214/aos/1013203451>.
How to cite:
Imad El Badisy (2026). fastgbm: Fast Histogram Gradient Boosting for Regression, Classification, and Survival Analysis. R package version 0.6.1, https://cran.r-project.org/web/packages/fastgbm. Accessed 24 Oct. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited fastgbm R package
View fastgbm citation profile
Other R packages that fastgbm depends, imports, suggests or enhances
Complete documentation for fastgbm
Functions, R codes and Examples using the fastgbm R package
Full fastgbm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

magicfor  
Magic Functions to Obtain Results from for Loops
Magic functions to obtain results from for loops. ...
Download / Learn more Package Citations See dependency  
forecastHybrid  
Convenient Functions for Ensemble Time Series Forecasts
Convenient functions for ensemble forecasts in R combining approaches from the 'forecast' package. ...
Download / Learn more Package Citations See dependency  
givitiR  
The GiViTI Calibration Test and Belt
Functions to assess the calibration of logistic regression models with the GiViTI (Gruppo Italiano p ...
Download / Learn more Package Citations See dependency  
climwin  
Climate Window Analysis
Contains functions to detect and visualise periods of climate sensitivity (climate windows) for a g ...
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  
FDRsampsize  
Compute Sample Size that Meets Requirements for Average Power and FDR
Defines a collection of functions to compute average power and sample size for studies that use the ...
Download / Learn more Package Citations See dependency  

29,080

R Packages

247,686

Dependencies

77,281

Author Associations

29,081

Publication Badges

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