Latest posts tagged with #brms on Bluesky
@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.
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 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/
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
#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 😎
#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...
#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
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. 🫠
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...
#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/
#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...
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.
