JOSS: https://github.com/grf-labs/policytree
causal-inference policy-learning
Score: 14.043761046646628
Last synced: about 4 hours ago
JSON representation
Repository metadata:
Policy learning via doubly robust empirical welfare maximization over trees
- Host: GitHub
- URL: https://github.com/grf-labs/policytree
- Owner: grf-labs
- License: mit
- Created: 2019-12-17T18:38:46.000Z (over 6 years ago)
- Default Branch: master
- Last Pushed: 2026-02-18T14:32:29.000Z (4 months ago)
- Last Synced: 2026-06-12T18:06:05.315Z (10 days ago)
- Topics: causal-inference, policy-learning
- Language: R
- Homepage: https://grf-labs.github.io/policytree/
- Size: 1.57 MB
- Stars: 87
- Watchers: 7
- Forks: 17
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
- License: LICENSE
Owner metadata:
- Name: GRF Labs
- Login: grf-labs
- Email:
- Kind: organization
- Description:
- Website: https://grf-labs.github.io/grf/
- Location: Stanford University
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/43325959?v=4
- Repositories: 4
- Last Synced at: 2023-03-04T00:30:52.745Z
- Profile URL: https://github.com/grf-labs
GitHub Events
Total
- Create event: 2
- Delete event: 2
- Fork event: 2
- Issue comment event: 4
- Issues event: 4
- Pull request event: 4
- Push event: 5
- Watch event: 8
- Total: 31
Last Year
- Create event: 2
- Delete event: 2
- Fork event: 2
- Pull request event: 4
- Push event: 5
- Watch event: 2
- Total: 17
Committers metadata
Last synced: 3 days ago
Total Commits: 173
Total Committers: 3
Avg Commits per committer: 57.667
Development Distribution Score (DDS): 0.046
Commits in past year: 5
Committers in past year: 1
Avg Commits per committer in past year: 5.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Erik Sverdrup | e****p@g****m | 165 |
| Stefan Wager | s****r | 4 |
| Ayush Kanodia | k****h@g****m | 4 |
Issue and Pull Request metadata
Last synced: about 1 month ago
Total issues: 25
Total pull requests: 89
Average time to close issues: 4 months
Average time to close pull requests: 1 day
Total issue authors: 13
Total pull request authors: 2
Average comments per issue: 3.92
Average comments per pull request: 0.1
Merged pull request: 82
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 0
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 0
Past year average comments per issue: 0.0
Past year average comments per pull request: 0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- njawadekar (6)
- erikcs (6)
- hhsievertsen (3)
- gabriel-ruiz (1)
- jkortner (1)
- aczura2024 (1)
- shafayetShafee (1)
- MCKnaus (1)
- beniaminogreen (1)
- jarkki (1)
- ZhiyLiu (1)
- kmrnykgbn (1)
- if-sudo (1)
Top Pull Request Authors
- erikcs (87)
- kanodiaayush (2)
Top Issue Labels
- question (12)
- enhancement (3)
- bug (2)
- documentation (1)
- breaking (1)
- code quality (1)
Top Pull Request Labels
- bug (2)
- documentation (1)
Package metadata
- Total packages: 2
-
Total downloads:
- cran: 4,145 last-month
- Total docker downloads: 38
- Total dependent packages: 1 (may contain duplicates)
- Total dependent repositories: 2 (may contain duplicates)
- Total versions: 19
- Total maintainers: 1
cran.r-project.org: policytree
Policy Learning via Doubly Robust Empirical Welfare Maximization over Trees
- Homepage: https://github.com/grf-labs/policytree
- Documentation: http://cran.r-project.org/web/packages/policytree/policytree.pdf
- Licenses: MIT + file LICENSE
- Latest release: 1.2.4 (published 4 months ago)
- Last Synced: 2026-06-20T22:00:27.229Z (2 days ago)
- Versions: 15
- Dependent Packages: 1
- Dependent Repositories: 2
- Downloads: 4,145 Last month
- Docker Downloads: 38
-
Rankings:
- Forks count: 5.142%
- Stargazers count: 5.147%
- Average: 13.596%
- Dependent packages count: 18.148%
- Dependent repos count: 19.265%
- Downloads: 20.276%
- Maintainers (1)
conda-forge.org: r-policytree
- Homepage: https://github.com/grf-labs/policytree
- Licenses: GPL-3.0-only
- Latest release: 1.2.0 (published over 4 years ago)
- Last Synced: 2026-03-07T00:23:15.335Z (4 months ago)
- Versions: 4
- Dependent Packages: 0
- Dependent Repositories: 0
-
Rankings:
- Dependent repos count: 34.025%
- Stargazers count: 34.829%
- Average: 40.238%
- Forks count: 40.923%
- Dependent packages count: 51.175%
Dependencies
- R >= 3.5.0 depends
- Rcpp * imports
- grf >= 2.0.0 imports
- DiagrammeR * suggests
- testthat >= 3.0.4 suggests