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DidacticBoost

0.1.1

A Simple Implementation and Demonstration of Gradient Boosting

0packages depend
2.2Kdownloads / year
100.0%test coverage
13/13checks pass

Overview

About
Maintained by David ShaubFirst published 2016-04-191 releasesCRAN page ↗GitHub ↗

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.

Install

Health

CRAN checks
13OK
Slowest check: 48 s · r-devel-windows-x86_64
Code health
Yes
Tests · ratio 0.14
100.0%
Coverage · measured lines
100%
Documentation · exports
1
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-04-25
    12 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-03-10
    11 OK · 3 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo
Examples that run
100%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

2.2K
CRAN downloads in the past year
Rank #20,624 · ~6/day · ~182/mo
Daily download trend is not available in this view yet.
15330 days
55190 days
2.2K1 year
Compare downloads with other packages →
Also on103 r2u13 autocran

Repository

Repository
0Stars
2Forks
0Open issues
0Open PRs
0Releases
18Commits
1Contributors
crangradient-boostingr
License GPL-3.0 · 18 commits · Last activity 2016-04-19

Forks over time

2017-07-11 · 22026-07-07 · 2

Repository practices

Upstream repositoryBeta

1 development-tooling and community-health practice detected across 1 family in the upstream repository

Checks run against github.com/dashaub/didacticboost on 2026-08-23.

Continuous integration (1)
Travis CI
How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
1 external dependency (excludes base and recommended)
Depends (2)
R >= 3.1.1rpart
Imports (0)
none
LinkingTo (0)
none
Suggests (1)
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

Code & Tests

People & History

People (1)
Maintainer (1)
Author, Maintainer
Authors (1)
Author, Maintainer
Package Timeline

1 release. R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 0.1.1Latest
    2026-03-10 · current release
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2016-04-19
Total releases
1 / 10 yrs
License
GPL-3 OSI
Minimum R
≥ 3.1.1
Download size
3.4 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("DidacticBoost")
Shaub, D. (2016). DidacticBoost: A Simple Implementation and Demonstration of Gradient Boosting (Version 0.1.1) [Computer software]. https://doi.org/10.32614/CRAN.package.DidacticBoost

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for DidacticBoost version 0.1.1 [Data set]. HJJB, LLC. Data release v2026-08-23. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-23, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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