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...

Stuck between Zero and One: Modelling Non-Count Proportions with Beta and Dirichlet Regression Post provided by JAMES WEEDON & BOB DOUMA Chinese translation provided by Zishen Wang 這篇博客文章也有中文版 Imagine the scene: you’re presenting your exciting research results at an important internation…

#statstab #478 Stuck between Zero and One: Modelling Non-Count Proportions with Beta and Dirichlet Regression

Thoughts: A few resources for proportion data.

#Dirichlet #proportions #betareg #count #tutorial

methodsblog.com/2019/08/06/b...

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...

Bayesian Zero-and-One Inflated Dirichlet Regression Modelling Fits Dirichlet regression and zero-and-one inflated Dirichlet regression with Bayesian methods implemented in Stan. These models are sometimes referred to as trinomial mixture models; covariates and o...

#statstab #439 {ZOID}

Thoughts: "zero-and-one inflated Dirichlet regression (also known as trinomial mixture models) in a Bayesian framework (Stan)"
Useful for composite proportions.

#Dirichlet #bayesian #stan #r #rstats #proportions

noaa-nwfsc.github.io/zoid/index.h...

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...

New Diffuse Domain Methods for Dirichlet Boundary Problems

Researchers introduced Diffuse Domain Methods that enforce Dirichlet conditions via mixed and coercive Nitsche‑based schemes, achieving provable stability and better L²/H¹ accuracy. Read more: getnews.me/new-diffuse-domain-metho... #diffusedomain #dirichlet