mboost

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

https://github.com/boost-r/mboost

Science Score: 23.0%

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

  • CITATION.cff file
  • codemeta.json file
    Found codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    3 of 19 committers (15.8%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (12.8%) to scientific vocabulary

Keywords

boosting-algorithms cran gam glm machine-learning mboost modelling r-language r-package tutorials variable-selection
Last synced: 6 months ago · JSON representation

Repository

Boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data. The current relase version can be found on CRAN (http://cran.r-project.org/package=mboost).

Basic Info
  • Host: GitHub
  • Owner: boost-R
  • Language: HTML
  • Default Branch: master
  • Homepage:
  • Size: 10.7 MB
Statistics
  • Stars: 75
  • Watchers: 13
  • Forks: 25
  • Open Issues: 32
  • Releases: 0
Topics
boosting-algorithms cran gam glm machine-learning mboost modelling r-language r-package tutorials variable-selection
Created almost 11 years ago · Last pushed over 1 year ago
Metadata Files
Readme

README.md

mboost

Build Status (Linux) Build status (Windows) CRAN Status Badge Coverage Status

mboost implements boosting algorithms for fitting generalized linear, additive and interaction models to potentially high-dimensional data.

Using mboost

For installation instructions see below.

Instructions on how to use mboost can be found in various places: - Have a look at the tutorials: - mboost tutorial - mboost 2.0 - Visit the project homepage and see further tutorials and references there.

Issues & Feature Requests

For issues, bugs, feature requests etc. please use the GitHub Issues.

Installation Instructions

  • Current version (from CRAN): r install.packages("mboost")

  • Latest patch version (patched version of CRAN package; under development) from GitHub: r library("devtools") install_github("boost-R/mboost") library("mboost")

  • Latest development version (version with new features; under development) from GitHub: r library("devtools") install_github("boost-R/mboost", ref = "devel") library("mboost")

To be able to use the install_github() command, one needs to install devtools first: r install.packages("devtools")

Owner

  • Name: boost-R
  • Login: boost-R
  • Kind: organization

Model-based boosting methods for R

GitHub Events

Total
  • Watch event: 3
  • Push event: 1
Last Year
  • Watch event: 3
  • Push event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 1,243
  • Total Committers: 19
  • Avg Commits per committer: 65.421
  • Development Distribution Score (DDS): 0.616
Past Year
  • Commits: 6
  • Committers: 1
  • Avg Commits per committer: 6.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
thothorn t****n@e****b 477
hofner h****r@e****b 275
Benjamin Hofner b****r@p****e 163
Benjamin Hofner b****r@f****e 144
schmidm s****m@e****b 69
Torsten Hothorn t****n@u****h 54
thothorn 3****n 13
fabian f****n@e****b 9
Mikko Korpela m****l@i****i 8
kneib k****b@e****b 7
mayrandy a****r@f****e 6
sbrockhaus s****s@s****e 6
sobotka s****a@e****b 6
mayrandy a****r@u****e 1
Torsten Hothorn t****n@R****g 1
Janek Thomas j****s@w****e 1
david.ruegamer@stat.uni-muenchen.de d****r@s****e 1
stefan7th s****h@e****b 1
Sebastian Meyer s****r@f****e 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 90
  • Total pull requests: 11
  • Average time to close issues: 2 months
  • Average time to close pull requests: 25 days
  • Total issue authors: 33
  • Total pull request authors: 8
  • Average comments per issue: 1.57
  • Average comments per pull request: 2.27
  • Merged pull requests: 7
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 0
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 0
  • Pull request authors: 0
  • Average comments per issue: 0
  • Average comments per pull request: 0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • hofnerb (32)
  • sbrockhaus (12)
  • carlganz (5)
  • davidruegamer (4)
  • mayrandy (4)
  • fabian-s (3)
  • kenahoo (2)
  • ja-thomas (2)
  • timolingh (2)
  • tobigithub (1)
  • mq20097452 (1)
  • seqtools (1)
  • hbaniecki (1)
  • bastistician (1)
  • kmorndahl (1)
Pull Request Authors
  • mvkorpel (3)
  • hofnerb (2)
  • bastistician (1)
  • ja-thomas (1)
  • jan-glx (1)
  • kenahoo (1)
  • ghost (1)
  • hfrick (1)
Top Labels
Issue Labels
bug (15) enhancement (14) help wanted (7) invalid (1)
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 3,855 last-month
  • Total docker downloads: 45,970
  • Total dependent packages: 43
    (may contain duplicates)
  • Total dependent repositories: 66
    (may contain duplicates)
  • Total versions: 84
  • Total maintainers: 1
cran.r-project.org: mboost

Model-Based Boosting

  • Versions: 75
  • Dependent Packages: 39
  • Dependent Repositories: 66
  • Downloads: 3,855 Last month
  • Docker Downloads: 45,970
Rankings
Dependent packages count: 2.1%
Forks count: 2.8%
Dependent repos count: 3.0%
Stargazers count: 5.1%
Downloads: 6.0%
Average: 7.3%
Docker downloads count: 24.5%
Last synced: 6 months ago
conda-forge.org: r-mboost
  • Versions: 9
  • Dependent Packages: 4
  • Dependent Repositories: 0
Rankings
Dependent packages count: 12.4%
Average: 27.7%
Forks count: 30.8%
Stargazers count: 33.6%
Dependent repos count: 34.0%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.2.0 depends
  • methods * depends
  • parallel * depends
  • stabs >= 0.5 depends
  • stats * depends
  • Matrix * imports
  • grDevices * imports
  • graphics * imports
  • lattice * imports
  • nnls * imports
  • partykit >= 1.2 imports
  • quadprog * imports
  • splines * imports
  • survival >= 3.2 imports
  • utils * imports
  • BayesX * suggests
  • MASS * suggests
  • RColorBrewer * suggests
  • TH.data * suggests
  • fields * suggests
  • gbm * suggests
  • kangar00 * suggests
  • mlbench * suggests
  • nnet * suggests
  • randomForest * suggests
  • rpart >= 4.0 suggests
  • testthat >= 0.10.0 suggests