#brms

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

hashtag.org network · sponsored

Own #brms

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.

$2,449.80/ year · 4-character #name
Claim #brms — $2,449.80/yr→
Annual, renews each year
Buy on hashtag.space (web3)
one-timepay once, yours for life
card via hashtag.org · tokens via hashtag.space
0
Uses / 7 days
Mastodon
0
Accounts / 7 days
Mastodon
40
Recent posts
Mastodon
~0/hr
Recent pace
Mastodon · last 40
0.3
Avg reactions / post
Mastodon · last 40

Day-by-day usage

measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-27 08:02 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 08:02 UTC

No related tags with measured usage found for #brms.

Live pulse

measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-27 08:02 UTC

Everything below is measured over the latest 40 public posts (spanning ~17073 hours).

Posting hours (UTC) — busiest: 17:00

00:0012:0023:00

Languages: English (40)

Avg boosts / post: 0.9

Top of the latest posts

  • I've published my first post in almost 10 years! It's about a seemingly strange quirk in #Bayesian logistic regression. In the post, I have some #brms examples (via #Rstats ) that show that the treatment effect for Arm B can be effected by

    vitaly_druker@vitaly_druker♥ 3↻ 32026-07-04 02:44 UTCView post →

  • New on the blog: Using Bayesian tools to be a better frequentist Turns out that for negative binomial regression with small samples, standard frequentist tools fail to achieve their stated goals. Bayesian computation ends up providing bette

    Martin Modrák@[email protected]♥ 3↻ 32025-07-09 19:39 UTCView post →

  • #statstab #450 Fitting GAMs with brms Thoughts: Assuming linearity of your continuous predictors is not needed when you can add wiggles! #gam #glmm #linearmodel #modelling #brms #rstats #bayes #tutorial #splines #r https://fromthebottomofth

    Dr Mircea Zloteanu 🌺🌞🍃@[email protected]♥ 1↻ 02025-10-31 17:19 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/brms