drord

Doubly robust estimators of ordinal treatment effects

https://github.com/benkeser/drord

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
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  • Academic publication links
  • Committers with academic emails
    1 of 1 committers (100.0%) from academic institutions
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    Low similarity (0.2%) to scientific vocabulary

Keywords

causal-inference covid-19 double-robust mann-whitney ordinal-regression
Last synced: 9 months ago · JSON representation

Repository

Doubly robust estimators of ordinal treatment effects

Basic Info
Statistics
  • Stars: 4
  • Watchers: 2
  • Forks: 1
  • Open Issues: 0
  • Releases: 0
Topics
causal-inference covid-19 double-robust mann-whitney ordinal-regression
Created about 6 years ago · Last pushed about 5 years ago
Metadata Files
Readme Contributing License

README-unnamed-chunk-3-1.png

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Owner

  • Name: David Benkeser
  • Login: benkeser
  • Kind: user
  • Location: Atlanta, GA

Assistant Professor Emory University Department of Biostatistics and Bioinformatics

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Last synced: 11 months ago

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  • Total Commits: 50
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  • Avg Commits per committer: 50.0
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David Benkeser b****r@e****u 50
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Packages

  • Total packages: 1
  • Total downloads:
    • cran 188 last-month
  • Total dependent packages: 0
  • Total dependent repositories: 0
  • Total versions: 2
  • Total maintainers: 1
cran.r-project.org: drord

Doubly-Robust Estimators for Ordinal Outcomes

  • Versions: 2
  • Dependent Packages: 0
  • Dependent Repositories: 0
  • Downloads: 188 Last month
Rankings
Forks count: 21.9%
Stargazers count: 24.2%
Dependent packages count: 29.8%
Dependent repos count: 35.5%
Average: 36.3%
Downloads: 70.4%
Maintainers (1)
Last synced: 10 months ago

Dependencies

DESCRIPTION cran
  • R >= 3.5.0 depends
  • MASS * imports
  • VGAM * imports
  • ggplot2 * imports
  • ordinal * imports
  • ggsci * suggests
  • knitr * suggests
  • rmarkdown * suggests
  • testthat * suggests