quantregForest
R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
Science Score: 10.0%
This score indicates how likely this project is to be science-related based on various indicators:
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○CITATION.cff file
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○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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✓Committers with academic emails
5 of 7 committers (71.4%) from academic institutions -
○Institutional organization owner
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○JOSS paper metadata
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○Scientific vocabulary similarity
Low similarity (10.1%) to scientific vocabulary
Keywords
Repository
R package - Quantile Regression Forests, a tree-based ensemble method for estimation of conditional quantiles (Meinshausen, 2006).
Basic Info
Statistics
- Stars: 31
- Watchers: 4
- Forks: 7
- Open Issues: 13
- Releases: 0
Topics
Metadata Files
README.md
quantregForest
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
- Website: www.lorismichel.ch
- Repositories: 3
- Profile: https://github.com/lorismichel
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
Top Committers
| Name | 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
Pull Request Labels
Packages
- Total packages: 1
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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
- Homepage: https://github.com/lorismichel/quantregForest
- Documentation: http://cran.r-project.org/web/packages/quantregForest/quantregForest.pdf
- License: GPL-2 | GPL-3 [expanded from: GPL]
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Latest release: 1.3-7.1
published over 1 year ago
Rankings
Maintainers (1)
Dependencies
- RColorBrewer * depends
- randomForest * depends
- parallel * imports
- stats * imports
- gss * suggests
- knitr * suggests
- rmarkdown * suggests