#modelfit
Live, measured metrics for the hashtag #modelfit from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #modelfit
This #name is available to claim. It becomes your portal on the open agent web: this very page, a keyword you rank for by an open public stake, and a verifiable identity for AI agents. Nobody else sells a page like this for every #name.
Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 10:24 UTC0 uses by 0 unique accounts across the window. Real per-day counts, not estimates. Newest bar is today so far.
Related hashtags
measured · fosstodon.org (Mastodon public search API) · fetched 2026-07-27 10:24 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 10:24 UTCEverything below is measured over the latest 3 public posts (spanning ~9675 hours).
Posting hours (UTC)
Languages: English (3)
Avg boosts / post: 0
Top of the latest posts
#statstab #496 Posterior predictive checks {performance} Thoughts: Idk why more frequentist don't use ppc for their models. I can diagnose so many issues visually this way. #error #posterior #ppc #modelfit #diagnostics #model #r #rstats #ea
#statstab #464 Plotting p-check interaction {brms} Thoughts: Annoyingly #brms doesn't natively allow plotting for interactions (that I know of). The forum has a solution. #ppc #posterior #bayesian #modelfit #diagnostic #rstats #r #stan http
#statstab #264 When estimating a treatment effect with a cluster design, you need to include varying slopes, even if the fit gives warning messages Thoughts: Warnings are scary ⚠️ Bad model are scarier 👹 #lmer #modelfit #mixedeffects #r #r
Every number above is measured from a named public API at the shown fetch time. Nothing is estimated or extrapolated. Platforms that lock their data behind paid APIs are not shown. Agents: the same numbers, as JSON, at /api/hashtags/modelfit