Other packages > Find by keyword >

stackgbm  

Stacked Gradient Boosting Machines
View on CRAN: Click here


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

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

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



Attach the package and use:
library("stackgbm")
Maintained by
Nan Xiao
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-04-30
Latest Update: 2024-04-30
Description:
A minimalist implementation of model stacking by Wolpert (1992) <doi:10.1016/S0893-6080(05)80023-1> for boosted tree models. A classic, two-layer stacking model is implemented, where the first layer generates features using gradient boosting trees, and the second layer employs a logistic regression model that uses these features as inputs. Utilities for training the base models and parameters tuning are provided, allowing users to experiment with different ensemble configurations easily. It aims to provide a simple and efficient way to combine multiple gradient boosting models to improve predictive model performance and robustness.
How to cite:
Nan Xiao (2024). stackgbm: Stacked Gradient Boosting Machines. R package version 0.1.0, https://cran.r-project.org/web/packages/stackgbm. Accessed 18 Sep. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited stackgbm R package
View stackgbm citation profile
Other R packages that stackgbm depends, imports, suggests or enhances
Complete documentation for stackgbm
Functions, R codes and Examples using the stackgbm R package
Full stackgbm package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
eyelinker  
Import ASC Files from EyeLink Eye Trackers
Imports plain-text ASC data files from EyeLink eye trackers into (relatively) tidy data frames for ...
Download / Learn more Package Citations See dependency  
hmeasure  
The H-Measure and Other Scalar Classification Performance Metrics
Classification performance metrics that are derived from the ROC curve of a classifier. The package ...
Download / Learn more Package Citations See dependency  
injectoR  
R Dependency Injection
R dependency injection framework. Dependency injection allows a program design to follow the depend ...
Download / Learn more Package Citations See dependency  
data360r  
Wrapper for 'TCdata360' and 'Govdata360' API
Makes it easy to engage with the Application Program Interface (API) of the 'TCdata360' and 'Govdat ...
Download / Learn more Package Citations See dependency  
downlit  
Syntax Highlighting and Automatic Linking
Syntax highlighting of R code, specifically designed for the needs of 'RMarkdown' packages like 'pk ...
Download / Learn more Package Citations See dependency  

28,565

R Packages

239,283

Dependencies

75,677

Author Associations

28,566

Publication Badges

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