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FDboost

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

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

Science Score: 49.0%

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
    Found .zenodo.json file
  • ✓
    DOI references
    Found 2 DOI reference(s) in README
  • ○
    Academic publication links
  • ✓
    Committers with academic emails
    4 of 9 committers (44.4%) from academic institutions
  • ○
    Institutional organization owner
  • ○
    JOSS paper metadata
  • ○
    Scientific vocabulary similarity
    Low similarity (11.9%) to scientific vocabulary

Keywords

boosting boosting-algorithms cran function-on-function-regression function-on-scalar-regression machine-learning scalar-on-function-regression variable-selection
Last synced: 6 months ago · JSON representation

Repository

Boosting Functional Regression Models. The current release version can be found on CRAN (http://cran.r-project.org/package=FDboost).

Basic Info
  • Host: GitHub
  • Owner: boost-R
  • Language: R
  • Default Branch: master
  • Homepage:
  • Size: 9.41 MB
Statistics
  • Stars: 20
  • Watchers: 7
  • Forks: 7
  • Open Issues: 4
  • Releases: 0
Topics
boosting boosting-algorithms cran function-on-function-regression function-on-scalar-regression machine-learning scalar-on-function-regression variable-selection
Created over 9 years ago · Last pushed 6 months ago
Metadata Files
Readme Changelog

README.md

FDboost

R-CMD-check CRAN status CRAN RStudio mirror downloads

FDboost Boosting Functional Regression Models.

The package FDboost fits regression models for functional data, i.e., scalar-on-function, function-on-scalar, and function-on-function regression models, by a component-wise gradient boosting algorithm. Furthermore, it can be used to fit density-on-scalar regression models.

Using FDboost

For installation instructions see below.

Instructions on how to use FDboost can be found in various places:

Issues & Feature Requests

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

Installation

Install the last release from CRAN:

r install.packages("FDboost")

Install the development version from GitHub:

```r

install.packages("pak")

pak::pak("boost-R/FDboost") ```

Owner

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

Model-based boosting methods for R

GitHub Events

Total
  • Issues event: 4
  • Watch event: 3
  • Issue comment event: 8
  • Push event: 24
  • Pull request event: 45
  • Fork event: 2
Last Year
  • Issues event: 4
  • Watch event: 3
  • Issue comment event: 8
  • Push event: 24
  • Pull request event: 45
  • Fork event: 2

Committers

Last synced: over 2 years ago

All Time
  • Total Commits: 246
  • Total Committers: 9
  • Avg Commits per committer: 27.333
  • Development Distribution Score (DDS): 0.537
Past Year
  • Commits: 1
  • Committers: 1
  • Avg Commits per committer: 1.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
sbrockhaus s****s@s****e 114
david.ruegamer@stat.uni-muenchen.de d****r@s****e 88
Almond Stöcker a****r@g****m 27
Sarah Brockhaus s****s 6
Eva2703 e****3@g****e 5
unknown b****s@W****e 2
David Rügamer d****r@g****m 2
Eva2703 3****3 1
stoeckea.hub s****b@b****e 1
Committer Domains (Top 20 + Academic)
stat.uni-muenchen.de: 2 balder.wiwi.hu-berlin.de: 1 wap28.stat.uni-muenchen.de: 1 gmx.de: 1

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 20
  • Total pull requests: 6
  • Average time to close issues: 25 days
  • Average time to close pull requests: 9 days
  • Total issue authors: 8
  • Total pull request authors: 3
  • Average comments per issue: 3.05
  • Average comments per pull request: 0.0
  • Merged pull requests: 6
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 0
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • 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
  • davidruegamer (8)
  • sbrockhaus (5)
  • fabian-s (2)
  • Eva2703 (1)
  • LucasKook (1)
  • lbeggel (1)
  • Almond-S (1)
  • pfistfl (1)
  • jaganmn (1)
  • m-muecke (1)
Pull Request Authors
  • m-muecke (23)
  • Almond-S (3)
  • Eva2703 (2)
  • sbrockhaus (1)
  • LucasKook (1)
Top Labels
Issue Labels
Pull Request Labels

Packages

  • Total packages: 2
  • Total downloads:
    • cran 937 last-month
  • Total docker downloads: 45,717
  • Total dependent packages: 1
    (may contain duplicates)
  • Total dependent repositories: 5
    (may contain duplicates)
  • Total versions: 18
  • Total maintainers: 1
cran.r-project.org: FDboost

Boosting Functional Regression Models

  • Versions: 13
  • Dependent Packages: 1
  • Dependent Repositories: 5
  • Downloads: 937 Last month
  • Docker Downloads: 45,717
Rankings
Forks count: 10.8%
Downloads: 11.7%
Dependent repos count: 13.1%
Stargazers count: 13.8%
Average: 15.5%
Dependent packages count: 18.2%
Docker downloads count: 25.2%
Maintainers (1)
david.ruegamer@gmail.com
Last synced: 6 months ago
conda-forge.org: r-fdboost
  • Versions: 5
  • Dependent Packages: 0
  • Dependent Repositories: 0
Rankings
Dependent repos count: 34.0%
Average: 44.9%
Forks count: 46.0%
Stargazers count: 48.3%
Dependent packages count: 51.2%
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • mboost >= 2.9 depends
  • MASS * imports
  • Matrix * imports
  • gamboostLSS >= 2.0 imports
  • grDevices * imports
  • graphics * imports
  • methods * imports
  • mgcv * imports
  • stabs * imports
  • stats * imports
  • utils * imports
  • zoo * imports
  • fda * suggests
  • fields * suggests
  • ggplot2 * suggests
  • knitr * suggests
  • mapdata * suggests
  • maps * suggests
  • refund * suggests
  • testthat * suggests