#statstab #401 Common issues, conundrums, and other things that might come up when implementing mixed models

Thoughts: GLMMs are cool, but come with their own quirks.

#glmm #lmer #brms #mixedeffects #hierarchicalmodels #r

https://m-clark.github.io/mixed-models-with-R/issues.html

Issues | Mixed Models with R

This is an introduction to using mixed models in R. It covers the most common techniques employed, with demonstration primarily via the lme4 package. Discussion includes extensions into generalized mixed models, Bayesian approaches, and realms beyond.

#statstab #45 Visualizing Hierarchical Models

Thoughts: One of the coolest visualisation websites for mixed effects models I had saved.

#stats #mixedeffects #hierarchicalmodels #rstats #MLM

http://mfviz.com/hierarchical-models/

A Visual Introduction to Hierarchical Models

A visual explanation of multi-level modeling

#introduction

I'm a #mathematician by training and a #datascientist by trade. Living in #munich, #germany. I am a husband to my beautiful wife and father of two amazing children.

I studied math (and some physics) at #LMUMünchen.

I used to work for #mckinsey and #airbnb

I'm interested in #boardgames, #philosophyofscience, #epistemology, #bayesianism, #hierarchicalmodels, #forecasting, #ManyWorlds, #machinelearning, #artificialintelligence, #emergence, #categorytheory