@philippmusfeld.bsky.social , @joschadutli.bsky.social, @koberauer.bsky.social and I wrote up the result of three years of in lab discussions on setting priors in GLMs.

Hope some of you find the proposed workflow and our recommendations helpful!

#bayes #glm #brms #rstats

There’s no better song to play while waiting for a #brms model to finish fitting than “The Truth” by Handsome Boy Modeling School...
It perfectly captures the feeling of knowing the credible intervals are about to make me feel profound sadness.

GitHub - benjamin-rosenbaum/BayesFR: Fitting functional responses in 1 and 2-prey systems Fitting functional responses in 1 and 2-prey systems - benjamin-rosenbaum/BayesFR

I have written my first R-package for feeding experiments! BayesFR allows fitting functional responses by providing dynamical prediction models for use in #brms. Includes models for classical type 2 and type 3 responses, and also prey mortality or predator interference (more to come) #Rstats (1/3)

IBM Launches Hybrid Cloud Backup Product With Cobalt Iron IBM and its business partner Cobalt Iron last week announced the launch of a new cloud backup product. Dubbed Secure Automated Backup with ...

#IT #Jungle #AIX #BRMS #Cobalt #Iron #DB2 #IBM #Cloud #IBM #i

Origin | Interest | Match

#rstats #statssky #brms
To analyse ordinal data collected in two conditions (retrospective baseline vs current) and two groups (control v treatment) can I use a multivariate latent model?

fit_joint <- brm(
mvbind(pre, post) ~ group + (1|p|id),
data = dat,
family = cumulative("logit")
)

BRMS Klarifikasi Penyegelan Satu Titik Area Konsesi di Palu BRMS klarifikasi penyegelan satu titik area di konsesi Palu oleh Satgas PKH. Area belum dioperasikan, tambang River Reef tetap berjalan normal. Baca di sini!

BRMS klarifikasi penyegelan satu titik area konsesi di Palu hanya terkait administrasi & bukan penghentian operasional. Tetap berkomitmen pada keberlanjutan & kepatuhan hukum. #BeritaBisnis #BRMS

Compositional data (proportions that sum to 1) behave in ways standard models aren’t built for

I walk through why Dirichlet regression is often the right tool & what extra insight it gives using a real ex of eyetracking

#Dirichlet #r #brms #guide #eyetracking

open.substack.com/pub/mzlotean...

Je viens de terminer une semaine d'introduction à la modélisation statistique bayésienne en R et brms (~24h de cours niveau Master-Doctorat). #rstats #brms

Comme les années précédentes, le code et les slides (en Français) sont disponibles sur le site de la formation lnalborczyk.github.io/IMSB2026/

Modelling time-resolved electrophysiological data with Bayesian generalised additive multilevel models Providing utility functions for fitting Bayesian generalised additive multilevel models (BGAMMs) to time-resolved data (e.g., M/EEG, pupillometry, mouse-tracking, etc) and identifying clusters.

If you analyse time-resolved data (M/EEG, iEEG, pupillometry, force recordings…) and feel limited by cluster-based permutation tests (CBPTs); especially when trying to determine when an effect starts or ends; you may want to try our new R package: lnalborczyk.github.io/neurogam/
#rstats #brms #EEG

Simulating data for Dirichlet regression with varying estimates Hello everyone, The shortest formulation of my problem is the following: I’m trying to design a power analysis by simulation for a Dirichlet regression model using brms. How could we calculate the s...

#statstab #477 Simulating data for Dirichlet regression with varying estimates

Thoughts: Interesting thread about an underused model.

#Dirichlet #brms #poweranalysis #rstats #proportions #stan #forum

discourse.mc-stan.org/t/simulating...

Do I have any #rstats or #Stan or #brms buddies who have an example of how to write a custom family for brms that involves a multivariate outcome (in my case, a set of sufficient statistics for a discrete time markov chain)?

many meetings are truly useless. truly. but once in a while, as i listen to a conversation, someone makes a comment--sometimes it's a throwaway or filler--and it becomes the rosetta stone for a project i am working on.

like, duh, one can estimate correlation of REs in a multivariate model🤦‍♂️ #brms

Build a an example for next week's class of using #shiny in @quarto.org with results from a #brms mixture model.

I think it turned out pretty cool 😎

Bayesian workflow: Prior determination, predictive checks and sensitivity analyses | Pablo Bernabeu This post presents a run-through of a Bayesian workflow in R. The content is closely based on Bernabeu (2022), which was in turn based on lots of other references, also cited here.

#statstab #466 Bayesian workflow: Prior determination, predictive checks and sensitivity analyses

Thoughts: Having a good bayesian work flow can be challenging with complex models.

#priors #bayesian #sensitivityanalysis #posterior #ppc #brms

pablobernabeu.github.io/2022/bayesia...

Plotting pp_check interactions I am trying to model ordinal data with an interaction of two predictors. However, I have issues with plotting interactions and individual data with the BRMS functions. My model is of the type ratin...

#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

discourse.mc-stan.org/t/plotting-p...

#stats Q: for a bayesian negative binomial (in #brms), who should I think about the prior on phi (shape)? How can I connect it to either theory or stat desiderada?

Examples, tutorials, resources appreciated

(it all seems a bit abstract to me)

Bayesian Multilevel Modelling using brms for Ecologists | PR Statistics Applied Bayesian Modelling for Ecology is a hands-on workshop for ecologists and quantitative scientists who want to connect complex ecological data with powerful statistical models. This course intro...

Bayesian Multilevel Modelling using brms for Ecologists
1–5 Dec 2025

Build, fit, and interpret Bayesian models with confidence using brms
Instructor: Dr Andrew MacDonald

prstats.org/course/bayesian-multilevel-modelling-using-brms-for-ecologists-bmme02
#Bayesian #Rstats #Ecology #DataAnalysis #brms

one of the greatest joys of working with bayesian models is the flexibility associated with prior specification.

one of the greatest frustrations of working with bayesian models is the flexibility associated with prior specification.
#rstats #brms

#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

fromthebottomoftheheap.net/2018/04/21/f...

Just fit a Bayesian multilevel moderated mediation model with #brms like it was nothing. 🥳

It’s both pleasure and torture to struggle learning some new technique and the associated coding skills, even after a decade in the bio stat world. #rstats #brms

looking for help changing the legend title on conditional_smooth plots of a t2 smooth from #brms.

i've tried all manner of "labs" arguments and can't get it right. i've searched SO and stan forums and there's lots on conditional_effects, but less on smooths. 🫠

A guide to modeling proportions with Bayesian beta and zero-inflated beta regression models | Andrew Heiss Everything you ever wanted to know about beta regression! Use R and brms to correctly model proportion data, and learn all about the beta distribution along the way.

from the never ending list of resources i wish i had when i was learning a particular concept, here is a great blog post by @andrew.heiss.phd about beta regression, including a portion using #brms 🥰

www.andrewheiss.com/blog/2021/11...

#statstab #437 Speeding up categorical models in {brms}

Thoughts: As I'm currently annoyed with how long some models take, I'm sharing resources to help others.

By @matti.vuorre.com

#brms #categorical #efficiency #rstats #modelling #r #stan

rpubs.com/mvuorre/fast...

chkptstanr Fit Bayesian models in Stan <doi: 10.18637/jss.v076.i01> with checkpointing, that is, the ability to stop the MCMC sampler at will, and then pick right back up where the MCMC sampler left off. ...

#statstab #436 {chkptstanr} Checkpoint MCMC Sampling with Stan

Thoughts: This! Allows you to stop and start the sampling in {brms}. Can be a lifesaver.

#rstats #stan #brms #mcmc #efficiency #stanr #hmc #bayesian

donaldrwilliams.github.io/chkptstanr/

Guide to understanding the intuition behind the Dirichlet distribution | Andrew Heiss Learn about the Dirichlet distribution and explore how it’s just a fancier version of the Beta distribution

#statstab #435 Guide to understanding the intuition behind the Dirichlet distribution

Thoughts: Useful for composite proportions, but take ages in brms.

#brms #Dirichlet #proportions #modelling #rstats #r #betareg

www.andrewheiss.com/blog/2023/09...

R: How many cores do you want to use?
Me: Yes.

#R #brms #bayesian #rstats

anyone know a way to get prior predictive check plot with the default priors (ie, sample_prior="only")? i've brute forced it for a single distribution, but want a few examples for teaching purposes and am looking for an easier way (and also don't want to be incorrect). #brms #rstats

There are several factors:
- User-friendly software like #brms has lowered the barrier to entry.
- The #replicability crisis in adjacent fields revealed the limits of traditional methods
- Bayesian approaches offer conceptual clarity and flexibility for tackling diverse data and research questions.

#rstats #brms #eeg #meg