#ggeffects

Live, measured metrics for the hashtag #ggeffects from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.

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0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
4
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 4
0.3
Avg reactions / post
Mastodon · last 4

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 13:20 UTC
0
07-21
0
07-22
0
07-23
0
07-24
0
07-25
0
07-26
0
07-27

0 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 13:20 UTC

No related tags with measured usage found for #ggeffects.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 13:20 UTC

Everything below is measured over the latest 4 public posts (spanning ~29165 hours).

Posting hours (UTC)

00:0012:0023:00

Languages: English (3) · German (1)

Avg boosts / post: 0

Top of the latest posts

  • I know it's shameless self-promotion (forgive me), but the examples of `conditional_values()` can also be used to demonstrate the intuitive user interface from {ggeffects}, also using the okabe-ito palette. See following code (in Alt-text),

    Daniel 🕹️@[email protected]102024-12-01 12:28 UTCView post →
  • #statstab #558 Technical Details: Difference Between Marginalization Methods: The `margin` Argument {ggeffects} Thoughts: Model predictions are a complicated thing. But effects stay the same. #ggeffects #rstats #r #marginaleffects #emmeans

    Dr Mircea Zloteanu 🌺🌞🍃@[email protected]002026-06-23 18:55 UTCView post →
  • #statstab #282 Plotting ordinal logistic predicted effects on latent scale of ordinal outcome {ggeffects} Thoughts: An interesting discussion on plotting ordinal data on the latent scale or probability scale. #dataviz #ggeffects #ordinal #l

    Dr Mircea Zloteanu 🌺🌞🍃@[email protected]002025-02-18 15:32 UTCView post →

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/ggeffects