JOSS: https://github.com/nhejazi/medoutcon
causal-inference causal-machine-learning inverse-probability-weights machine-learning mediation-analysis r r-package stochastic-interventions targeted-learning treatment-effects
Score: 4.0943445622221
Last synced: about 7 hours ago
JSON representation
Repository metadata:
:package: R/medoutcon: Efficient Causal Mediation Analysis with Natural and Interventional Direct/Indirect Effects
- Host: GitHub
- URL: https://github.com/nhejazi/medoutcon
- Owner: nhejazi
- License: other
- Created: 2019-04-07T01:13:19.000Z (about 7 years ago)
- Default Branch: master
- Last Pushed: 2026-01-08T05:31:16.000Z (6 months ago)
- Last Synced: 2026-02-15T12:41:00.875Z (4 months ago)
- Topics: causal-inference, causal-machine-learning, inverse-probability-weights, machine-learning, mediation-analysis, r, r-package, stochastic-interventions, targeted-learning, treatment-effects
- Language: R
- Homepage: https://codex.nimahejazi.org/medoutcon
- Size: 901 KB
- Stars: 15
- Watchers: 5
- Forks: 10
- Open Issues: 5
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- Contributing: CONTRIBUTING.md
- License: LICENSE
Owner metadata:
- Name: nima hejazi
- Login: nhejazi
- Email:
- Kind: user
- Description: Assistant Professor of Biostatistics at the Harvard School of Public Health
- Website: https://nimahejazi.org
- Location: Boston, Massachusetts
- Twitter: nshejazi
- Company: Harvard Chan School of Public Health
- Icon url: https://avatars.githubusercontent.com/u/8527276?u=fc2c5b8054eb9619319a674feec845b864b600ce&v=4
- Repositories: 19
- Last Synced at: 2023-03-06T14:39:28.069Z
- Profile URL: https://github.com/nhejazi
GitHub Events
Total
- Fork event: 3
- Issues event: 1
- Pull request event: 3
- Pull request review event: 2
- Push event: 3
- Watch event: 1
- Total: 13
Last Year
- Fork event: 1
- Pull request event: 3
- Pull request review event: 2
- Push event: 3
- Watch event: 1
- Total: 10
Committers metadata
Last synced: 4 months ago
Total Commits: 230
Total Committers: 3
Avg Commits per committer: 76.667
Development Distribution Score (DDS): 0.204
Commits in past year: 1
Committers in past year: 1
Avg Commits per committer in past year: 1.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| Nima Hejazi | n****h@n****g | 183 |
| Philippe Boileau | p****m@g****m | 40 |
| idiazst | i****5@m****u | 7 |
Issue and Pull Request metadata
Last synced: 5 months ago
Total issues: 30
Total pull requests: 28
Average time to close issues: about 1 month
Average time to close pull requests: about 2 months
Total issue authors: 6
Total pull request authors: 3
Average comments per issue: 0.67
Average comments per pull request: 0.93
Merged pull request: 22
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
Past year pull requests: 3
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 0
Past year pull request authors: 1
Past year average comments per issue: 0
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- idiazst (14)
- nhejazi (10)
- PhilBoileau (2)
- rrrlw (2)
- psychesha21 (1)
- erikcs (1)
Top Pull Request Authors
- nhejazi (19)
- PhilBoileau (8)
- nt-williams (1)
Top Issue Labels
- enhancement (6)
- bug (6)
Top Pull Request Labels
- enhancement (8)
Dependencies
- R >= 3.2.0 depends
- assertthat * imports
- data.table * imports
- dplyr * imports
- hal9001 >= 0.4.1 imports
- origami >= 1.0.3 imports
- scales * imports
- sl3 >= 1.4.3 imports
- speedglm * imports
- stats * imports
- stringr * imports
- tibble * imports
- zeallot * imports
- Rsolnp * suggests
- SuperLearner * suggests
- arm * suggests
- covr * suggests
- glmnet * suggests
- knitr * suggests
- nnls * suggests
- ranger * suggests
- rmarkdown * suggests
- testthat * suggests
- xgboost * suggests
- actions/checkout v3 composite
- r-lib/actions/setup-pandoc v2 composite
- r-lib/actions/setup-r v2 composite
- r-lib/actions/setup-tinytex v2 composite