#mcmc_stan
Live, measured metrics for the hashtag #mcmc_stan from the open social web. Every number carries a named source and the time it was fetched. Nothing is estimated.
Own #mcmc_stan
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Day-by-day usage
measured · fosstodon.org (Mastodon public tags API) · fetched 2026-07-28 20:28 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 2026-07-28 20:28 UTCNo related tags with measured usage found for #mcmc_stan.
Live pulse
measured · fosstodon.org (Mastodon tag timeline) · fetched 2026-07-28 20:28 UTCEverything below is measured over the latest 7 public posts (spanning ~13366 hours).
Posting hours (UTC)
Languages: English (6) · Spanish (1)
Avg boosts / post: 5.6
Top of the latest posts
Things are coming together for #ArviZ's InferenceData (https://github.com/arviz-devs/InferenceObjects.jl) to be a supported output type for #Turing and #JuliaLang's :julia: #Stan interface, similarly to how it is for #PyMC. For details, see
blavaan 0.5-1 is now on CRAN, including initial functionality for two-level structural equation models. Estimation happens via #mcmc_stan If you don't know these models, they are multivariate Gaussian models with three levels (e.g., multipl
"Past, Present and Future of Software for Bayesian Inference" by Štrumbelj et al. (2024). Statistical Science. https://doi.org/10.1214/23-STS907 #rstats #Python #JuliaLanguage #mcmc_stan #INLA #MCMC #BUGS #blackjax #JAGS #HMC #Matlab #Mathe
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/mcmc_stan