quantregForest

R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).

https://github.com/lorismichel/quantregforest

Science Score: 10.0%

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

  • CITATION.cff file
  • codemeta.json file
  • .zenodo.json file
  • DOI references
  • Academic publication links
  • Committers with academic emails
    5 of 7 committers (71.4%) from academic institutions
  • Institutional organization owner
  • JOSS paper metadata
  • Scientific vocabulary similarity
    Low similarity (10.1%) to scientific vocabulary

Keywords

forest machine-learning quantile-regression
Last synced: 6 months ago · JSON representation

Repository

R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).

Basic Info
  • Host: GitHub
  • Owner: lorismichel
  • Language: C
  • Default Branch: master
  • Homepage:
  • Size: 478 KB
Statistics
  • Stars: 31
  • Watchers: 4
  • Forks: 7
  • Open Issues: 13
  • Releases: 0
Topics
forest machine-learning quantile-regression
Created about 8 years ago · Last pushed almost 8 years ago
Metadata Files
Readme

README.md

quantregForest

Build Status Build status codecov HitCount CRAN CRAN Rdoc

Overview

Quantile Regression Forests is a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006). It is particularly well suited for high-dimensional data. Predictor variables of mixed classes can be handled. The package is dependent on the package 'randomForest', written by Andy Liaw.

Installation

you can install the official version from CRAN using the command:

r install.packages("quantregForest")

if you want to install the development version on github use:

r install.packages("devtools") devtools::install_github("lorismichel/quantregForest")

Issues

To report an issue, please use the issue tracker on github.com.

Owner

  • Name: Loris Michel
  • Login: lorismichel
  • Kind: user
  • Location: Zürich
  • Company: @quantco

Doctor of Sciences interested in machine learning and causality. Data Scientist at @quantco.

GitHub Events

Total
  • Watch event: 3
  • Pull request event: 1
  • Fork event: 1
Last Year
  • Watch event: 3
  • Pull request event: 1
  • Fork event: 1

Committers

Last synced: about 2 years ago

All Time
  • Total Commits: 54
  • Total Committers: 7
  • Avg Commits per committer: 7.714
  • Development Distribution Score (DDS): 0.259
Past Year
  • Commits: 0
  • Committers: 0
  • Avg Commits per committer: 0.0
  • Development Distribution Score (DDS): 0.0
Top Committers
Name Email Commits
lorismichel l****l@e****h 40
Nicolai Meinshausen m****n@s****h 5
Nicolai Meinshausen n****i@s****u 3
Loris Michel l****l@g****m 2
Loris Michel m****l@s****h 2
Nicolai Meinshausen n****i@s****h 1
Nicolai Meinshausen m****n@s****k 1
Committer Domains (Top 20 + Academic)

Issues and Pull Requests

Last synced: 6 months ago

All Time
  • Total issues: 13
  • Total pull requests: 4
  • Average time to close issues: 2 days
  • Average time to close pull requests: about 1 hour
  • Total issue authors: 11
  • Total pull request authors: 2
  • Average comments per issue: 0.46
  • Average comments per pull request: 0.5
  • Merged pull requests: 2
  • Bot issues: 0
  • Bot pull requests: 0
Past Year
  • Issues: 1
  • Pull requests: 1
  • Average time to close issues: N/A
  • Average time to close pull requests: N/A
  • Issue authors: 1
  • Pull request authors: 1
  • Average comments per issue: 0.0
  • Average comments per pull request: 0.0
  • Merged pull requests: 0
  • Bot issues: 0
  • Bot pull requests: 0
Top Authors
Issue Authors
  • lorismichel (3)
  • SameerShankar (1)
  • mnwright (1)
  • angelini75 (1)
  • kendonB (1)
  • svish91 (1)
  • kurthornik (1)
  • rgurlek (1)
  • oziashub (1)
  • aparrar1 (1)
  • aikaterinimanousidou (1)
Pull Request Authors
  • lorismichel (3)
  • MichaelChirico (2)
Top Labels
Issue Labels
enhancement (2) bug (1) question (1)
Pull Request Labels
enhancement (1) bug (1)

Packages

  • Total packages: 1
  • Total downloads:
    • cran 1,564 last-month
  • Total docker downloads: 43,482
  • Total dependent packages: 12
  • Total dependent repositories: 16
  • Total versions: 13
  • Total maintainers: 1
cran.r-project.org: quantregForest

Quantile Regression Forests

  • Versions: 13
  • Dependent Packages: 12
  • Dependent Repositories: 16
  • Downloads: 1,564 Last month
  • Docker Downloads: 43,482
Rankings
Dependent packages count: 5.9%
Dependent repos count: 7.1%
Docker downloads count: 9.2%
Average: 9.6%
Forks count: 9.7%
Stargazers count: 12.2%
Downloads: 13.2%
Maintainers (1)
Last synced: 6 months ago

Dependencies

DESCRIPTION cran
  • RColorBrewer * depends
  • randomForest * depends
  • parallel * imports
  • stats * imports
  • gss * suggests
  • knitr * suggests
  • rmarkdown * suggests