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An R package for running cost-effectiveness models in R. Forked from the heemod package.

active 2025-07-042025-07-08 (UTC)

Partial coverage11,284 / 12,062 hourly files (94%) · 2 absent upstream · 775 failed, retryable2025-03-262026-08-10 (UTC)— sampled evenly across the window, so rankings and trends hold; absolute counts scale up.
Events
61
Pushes
30
Pull requests
6
Issues
0
Stars
0
Forks
0

Activity over time

Daily event counts in the loaded window

Line chart, 5 days from 2025-07-04 to 2025-07-08. Pushes: 30 total, peak 9 in a day. Pull requests: 6 total, peak 6 in a day. Issues: 0 total, peak 0 in a day. Comments: 14 total, peak 14 in a day. Stars: 0 total, peak 0 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Top contributors

Pushes, PRs, issues, reviews and comments — stars and forks excluded, so this is contribution rather than popularity

ContributorContributionsPushesPRsComments
edithatogo342950
coderabbitai[bot]151110
gemini-code-assist[bot]8004

Recent activity

Latest issues, pull requests and releases

  • Pull request#5coderabbitai[bot]2025-07-07 08:29
  • Issue comment#4coderabbitai[bot]2025-07-07 08:25
    fFat: Implement PSA and DSA functionality for hero_py
  • Pull request#3edithatogo2025-07-07 02:59
  • Issue comment#3coderabbitai[bot]2025-07-07 02:58
    Integrate state expansion into parameter evaluation
  • Pull request#3edithatogo2025-07-07 02:58
  • Pull request#2edithatogo2025-07-07 02:57
  • Pull request#1edithatogo2025-07-07 02:56
  • Issue comment#1coderabbitai[bot]2025-07-07 02:55
    Modernize R Package and Introduce hero_py Python Port
  • Issue comment#1coderabbitai[bot]2025-07-07 02:53
    Modernize R Package and Introduce hero_py Python Port
  • Issue comment#2coderabbitai[bot]2025-07-07 02:53
    📝 Add docstrings to `modernize-package`
  • Issue comment#1coderabbitai[bot]2025-07-07 02:52
    Modernize R Package and Introduce hero_py Python Port
  • Pull request#1edithatogo2025-07-07 02:52

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 0 stars here means stars gained during the window, not the repo's star count.