Other packages > Find by keyword >

DidacticBoost  

A Simple Implementation and Demonstration of Gradient Boosting
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("DidacticBoost", "0.1.1")



Attach the package and use:
library("DidacticBoost")
Maintained by
David Shaub
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2016-04-19
Latest Update: 2016-04-19
Description:
A basic, clear implementation of tree-based gradient boosting designed to illustrate the core operation of boosting models. Tuning parameters (such as stochastic subsampling, modified learning rate, or regularization) are not implemented. The only adjustable parameter is the number of training rounds. If you are looking for a high performance boosting implementation with tuning parameters, consider the 'xgboost' package.
How to cite:
David Shaub (2016). DidacticBoost: A Simple Implementation and Demonstration of Gradient Boosting. R package version 0.1.1, https://cran.r-project.org/web/packages/DidacticBoost. Accessed 06 Mar. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited DidacticBoost R package
View DidacticBoost citation profile
Other R packages that DidacticBoost depends, imports, suggests or enhances
Complete documentation for DidacticBoost
Functions, R codes and Examples using the DidacticBoost R package
Some associated functions: fitBoosted . is.boosted . predict.boosted . 
Some associated R codes: Main.R .  Full DidacticBoost package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

DatabionicSwarm  
Swarm Intelligence for Self-Organized Clustering
Algorithms implementing populations of agents that interact with one another and sense their environ ...
Download / Learn more Package Citations See dependency  
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  
lbfgs  
Limited-memory BFGS Optimization
A wrapper built around the libLBFGS optimization library by Naoaki Okazaki. The lbfgs package implem ...
Download / Learn more Package Citations See dependency  
solitude  
An Implementation of Isolation Forest
Isolation forest is anomaly detection method introduced by the paper Isolation based Anomaly Detecti ...
Download / Learn more Package Citations See dependency  
openxlsx  
Read, Write and Edit xlsx Files
Simplifies the creation of Excel .xlsx files by providing a high level interface to writing, stylin ...
Download / Learn more Package Citations See dependency  
EMVS  
The Expectation-Maximization Approach to Bayesian Variable Selection
An efficient expectation-maximization algorithm for fitting Bayesian spike-and-slab regularization p ...
Download / Learn more Package Citations See dependency  

26,264

R Packages

223,360

Dependencies

70,376

Author Associations

26,265

Publication Badges

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