#mgcv
Live, measured metrics for the hashtag #mgcv from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mgcv
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 12:43 UTC2 uses by 1 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 12:43 UTCLive pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 12:43 UTCEverything below is measured over the latest 23 public posts (spanning ~32371 hours).
Posting hours (UTC) — busiest: 10:00
Languages: English (23)
Avg boosts / post: 2.2
Top of the latest posts
Preprint from Simon Wood on the new cross-validation smoothness estimation in #mgcv: https://arxiv.org/abs/2404.16490. It's a neat performant + data-efficient way to estimate GAMs based on complex CV splits (like spatial/temporal/phylo ones
The hottest ticket in R will be @gavinsimpson's live stream on What's New in Generalized Additive Models in R 2026-03-06 (17:00–19:00 CET) at https://youtube.com/live/A9U8e1KdlU4?feature=share • what GAMs are and how they work • recent {mgc
spending some more time thinking about neighbourhood cross-validation in #mgcv (see original post here: https://calgary.converged.yt/articles/ncv.html), but for time series. Pretty nice to be able to get back to a yearly trend here without
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/mgcv