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gbm3

Gradient boosted models

https://github.com/gbm-developers/gbm3

Science Score: 13.0%

This score indicates how likely this project is to be science-related based on various indicators:

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    CITATION.cff file
  • ✓
    codemeta.json file
    Found codemeta.json file
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    .zenodo.json file
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    DOI references
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    Academic publication links
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    JOSS paper metadata
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    Scientific vocabulary similarity
    Low similarity (7.6%) to scientific vocabulary
Last synced: 6 months ago · JSON representation

Repository

Gradient boosted models

Basic Info
  • Host: GitHub
  • Owner: gbm-developers
  • Language: R
  • Default Branch: master
  • Size: 4.72 MB
Statistics
  • Stars: 144
  • Watchers: 34
  • Forks: 115
  • Open Issues: 34
  • Releases: 0
Created almost 11 years ago · Last pushed almost 2 years ago
Metadata Files
Readme Changelog

README.md

gbm3: generalized boosted models ----0------------------------

Originally written by Greg Ridgeway between 1999-2003, added to by various authors, extensively updated and polished by James Hickey in 2016, survival models greatly improved by Terry Therneau in 2016, and currently maintained by Greg Ridgeway. Development is discussed --- somewhat --- at https://groups.google.com/forum/#!forum/gbm-dev .

This is the shiny new gbm3 package that is not backwards compatible with R code calling the original gbm package, but is fast and parallel and developed.

Non-production releases (bug fixes, mostly) will be released via the GitHub release workflow. To install from GitHub, first install remotes from CRAN:

R install.packages("remotes")

Then install gbm3 from GitHub:

```R remotes::install_github("gbm-developers/gbm3")

or to ensure your got everything

remotes::installgithub("gbm-developers/gbm3", buildvignettes = TRUE, force = TRUE) ```

Owner

  • Name: gbm-developers
  • Login: gbm-developers
  • Kind: organization

GitHub Events

Total
  • Issues event: 2
  • Watch event: 12
  • Issue comment event: 3
  • Fork event: 2
Last Year
  • Issues event: 2
  • Watch event: 12
  • Issue comment event: 3
  • Fork event: 2

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 5
  • Total pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: almost 7 years
  • Total issue authors: 5
  • Total pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 1.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 2
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 2
  • Pull request authors: 0
  • Average comments per issue: 0.0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
View more stats
Top Authors
Issue Authors
  • RuneBuckinx (1)
  • popkowiersma (1)
  • AMBarbosa (1)
  • knussear (1)
  • jasmyace (1)
Pull Request Authors
  • bgreenwell (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 1
  • Total downloads: unknown
  • Total docker downloads: 611
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 1
  • Total maintainers: 1
cran.r-project.org: gbm3

Generalized Boosted Regression Models

  • Versions: 1
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Docker Downloads: 611
Rankings
Dependent packages count: 28.3%
Dependent repos count: 36.2%
Average: 49.8%
Downloads: 84.8%
Maintainers (1)
gridge@upenn.edu
Last synced: 8 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.0.2 depends
  • Rcpp >= 0.11.5 imports
  • lattice * imports
  • splines * imports
  • survival * imports
  • knitr * suggests
  • rmarkdown * suggests
  • testthat >= 0.11.0 suggests