JOSS: https://github.com/ldliao/jointVIP
causal-inference observational-study r rstats study-design
Score: 8.941676305360163
Last synced: about 9 hours ago
JSON representation
Repository metadata:
Prioritize variables in observational study design through the joint variable importance plot; shiny app: https://ldliao.shinyapps.io/jointVIP/
- Host: GitHub
- URL: https://github.com/ldliao/jointVIP
- Owner: ldliao
- License: other
- Created: 2021-10-06T01:15:18.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2025-02-01T00:09:02.000Z (over 1 year ago)
- Last Synced: 2025-10-22T04:45:48.796Z (8 months ago)
- Topics: causal-inference, observational-study, r, rstats, study-design
- Language: HTML
- Homepage: https://ldliao.github.io/jointVIP/
- Size: 12.7 MB
- Stars: 7
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.Rmd
- Changelog: NEWS.md
- Contributing: CONTRIBUTING.html
- License: LICENSE
- Citation: citation.cff
Owner metadata:
- Name: Lauren Liao
- Login: ldliao
- Email:
- Kind: user
- Description: Aspiring Data Scientist and Biostatistician. Doctoral Biostatistics student at UC Berkeley
- Website:
- Location: Berkeley, CA
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/22989630?u=0bbf6c48b267e9e6c1826b521d9f4b7f46d80461&v=4
- Repositories: 2
- Last Synced at: 2023-05-31T01:13:13.665Z
- Profile URL: https://github.com/ldliao
GitHub Events
Total
- Create event: 1
- Push event: 24
- Release event: 1
- Watch event: 1
- Total: 27
Last Year
- Create event: 1
- Push event: 18
- Release event: 1
- Watch event: 1
- Total: 21
Committers metadata
Last synced: 8 months ago
Total Commits: 110
Total Committers: 2
Avg Commits per committer: 55.0
Development Distribution Score (DDS): 0.055
Commits in past year: 9
Committers in past year: 1
Avg Commits per committer in past year: 9.0
Development Distribution Score (DDS) in past year: 0.0
| Name | Commits | |
|---|---|---|
| ldliao | l****9@g****m | 104 |
| Lauren Liao | l****o@B****l | 6 |
Issue and Pull Request metadata
Last synced: 10 months ago
Total issues: 2
Total pull requests: 4
Average time to close issues: 5 months
Average time to close pull requests: 2 minutes
Total issue authors: 2
Total pull request authors: 1
Average comments per issue: 5.0
Average comments per pull request: 0.0
Merged pull request: 4
Bot issues: 0
Bot pull requests: 0
Past year issues: 0
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: 0
Past year pull request authors: 0
Past year average comments per issue: 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
- jackmwolf (1)
- nhejazi (1)
Top Pull Request Authors
- ldliao (6)
Top Issue Labels
Top Pull Request Labels
Package metadata
- Total packages: 1
-
Total downloads:
- cran: 545 last-month
- Total dependent packages: 0
- Total dependent repositories: 0
- Total versions: 5
- Total maintainers: 1
cran.r-project.org: jointVIP
Prioritize Variables with Joint Variable Importance Plot in Observational Study Design
- Homepage: https://github.com/ldliao/jointVIP
- Documentation: http://cran.r-project.org/web/packages/jointVIP/jointVIP.pdf
- Licenses: MIT + file LICENSE
- Latest release: 1.0.1 (published 9 months ago)
- Last Synced: 2025-10-30T04:20:12.076Z (8 months ago)
- Versions: 5
- Dependent Packages: 0
- Dependent Repositories: 0
- Downloads: 545 Last month
-
Rankings:
- Stargazers count: 28.503%
- Forks count: 28.83%
- Dependent packages count: 29.797%
- Average: 33.458%
- Dependent repos count: 35.455%
- Downloads: 44.705%
- Maintainers (1)
Dependencies
- dplyr * imports
- ggplot2 * imports
- ggpubr * imports
- ggrepel * imports
- testthat * imports
- tidyr * imports
- R >= 3.3 depends
- ggplot2 >= 3.4.0 imports
- ggrepel >= 0.9.2 imports
- MatchIt * suggests
- WeightIt * suggests
- causaldata * suggests
- devtools >= 2.4.5 suggests
- knitr * suggests
- optmatch * suggests
- optweight >= 0.2.4 suggests
- rmarkdown >= 2.18 suggests
- testthat >= 3.0.0 suggests
- R >= 3.3 depends
- ggplot2 >= 3.4.0 imports
- ggrepel >= 0.9.2 imports
- MatchIt * suggests
- WeightIt * suggests
- causaldata * suggests
- devtools >= 2.4.5 suggests
- knitr * suggests
- optmatch * suggests
- optweight >= 0.2.4 suggests
- rmarkdown >= 2.18 suggests
- testthat >= 3.0.0 suggests