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时间序列中的因果推理的 R 包

active 2023-08-152026-05-11 (UTC)

Complete coverage26,514 / 26,514 hourly files (100%) · 2 absent upstream2023-08-152026-08-23 (UTC)
Events
267
Pushes
3
Pull requests
2
Issues
10
Stars
226
Forks
17

Activity over time

Daily event counts in the loaded window

Line chart, 1001 days from 2023-08-15 to 2026-05-11. Pushes: 3 total, peak 2 in a day. Pull requests: 2 total, peak 1 in a day. Issues: 10 total, peak 2 in a day. Comments: 9 total, peak 1 in a day. Stars: 226 total, peak 3 in a day.

  • Pushes
  • Pull requests
  • Issues
  • Comments
  • Stars

Stars, PRs, issues and forks are under-captured in the later part of this window. GH Archive progressively stopped capturing non-push events during 2026 — −95% or worse by the end of the window. Every series here except Pushes fades for that reason, so a decline above reflects the archive, not this repository. Pushes stay reliable throughout, so read them, and the contributor counts derived from them, as the real signal. Data health has the measurements.

Top contributors

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

Recent activity

Latest issues, pull requests and releases

  • Pull request#81laura-paramark2025-12-09 02:01
  • Issue comment#79google-cla[bot]2025-10-16 08:38
    Add un standardize argument
  • Issue#78DietmarKracht2025-10-02 07:34
    Python Port causing issues with Pandas Version > 2.0.3
  • Issue comment#67AdimDrewnik2025-05-18 09:44
    Power Analysis for Geo experiments
  • Issue#77tgrkim912024-12-19 17:26
    Determining the number of burn-in steps
  • Issue comment#74SeanRichterWalsh2024-11-05 08:40
    Can I smooth the time series data before running the CausalImpact package
  • Issue#76dachosen12024-10-17 01:30
    Data Structuring for Seasonality and Variable Control
  • Issue#76dachosen12024-10-17 01:25
    Data Structuring for Seasonality and Variable Control
  • Issue comment#75sdamerdji2024-10-16 21:52
    Incompatible confidence intervals between the series object and the summary output
  • Pull request#66elseverzeynal2024-07-05 11:26
  • Issue#75abduazizR2024-05-27 22:35
    Incompatible confidence intervals between the series object and the summary output
  • Issue comment#14aazz77772024-05-06 16:30
    Python version
  • Issue comment#14WillianFuks2024-05-04 15:45
    Python version
  • Issue comment#14aazz77772024-05-01 14:50
    Python version
  • Issue#74yongqiangzhangzazzle2024-04-10 16:19
    Can I smooth the time series data before running the CausalImpact package
  • Issue#73NicolasFradin2024-04-09 13:38
    Is the
  • Issue comment#72SeanRichterWalsh2024-02-22 15:14
    CausalImpact do not works at all
  • Issue#72NikitaLinberg2024-02-20 14:31
    CausalImpact do not works at all
  • Issue#71bsaunders272024-01-31 23:35
    Rationale for explicit bsts parameters in `CausalImpact::ConstructModel` for StaticRegression
  • Issue comment#70SeanRichterWalsh2023-10-30 22:40
    Error with Relative effect
  • Issue#70quynhchau42023-10-13 00:22
    Error with Relative effect

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 226 stars here means stars gained during the window, not the repo's star count.