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GidonFrischkorn/Tutorial-MixtureModel-VWM

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This repository contains R scripts & raw data to illustrate how to estimate the Zhang & Luck mixture model for visual working memory.

active 2023-08-16 → 2026-03-18 (UTC)

Complete coverage27,790 / 27,790 hourly files (100%) · 2 absent upstream2023-08-15 → 2026-10-15 (UTC)
Events
135
Pushes
31
Pull requests
6
Issues
16
Stars
3
Forks
2

Activity over time

Daily event counts in the loaded window

Line chart, 946 days from 2023-08-16 to 2026-03-18. Pushes: 31 total, peak 5 in a day. Pull requests: 6 total, peak 2 in a day. Issues: 16 total, peak 4 in a day. Comments: 51 total, peak 19 in a day. Stars: 3 total, peak 1 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

ContributorContributionsPushesPRsComments
venpopov6510031
GidonFrischkorn6021619
jgman861000
mdrcboston1001

Recent activity

Latest issues, pull requests and releases

Totals cover only the window loaded into ClickHouse and count events, not GitHub's lifetime totals — 3 stars here means stars gained during the window, not the repo's star count.