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Statistical Rethinking

I’m currently working my way through Richard McElreath’s fantastic Statistical Rethinking course. Here you can see some of my attempts to solving the exercises.

Statistical Rethinking 2026, B01
R
Bayes
causal inference
shrinkage
pooling

Intro to multilevel models and shrinkage using data on article submissions to The BMJ.

Jun 2026
Statistical Rethinking 2026, A08
R
Bayes
item response model
MCMC

Using ulam and MCMC diagnostics on wine-tasting data.

Mar 2026
Statistical Rethinking 2026, A06
R
Bayes
DAG
causal inference
confounding
simulation

Simulating synthetic data and using a DAG to think about causal inference.

Feb 2026
Statistical Rethinking 2026, A04
R
Bayes
workflow
causal inference
simulation

A simple linear regression exercise focused on workflow.

Jan 2026
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Meta-analysis & Visualization

In my most recent project I worked on comparing frequentist and Bayesian meta-analytic frameworks and I ran into an issue: The very pretty and convenient forest() function from the metaforpackage is not very open to adding things like posterior distributions…

Recreating metafor forest plots in ggplot2
R
meta-analysis
ggplot2
visualization

A step-by-step guide to reproducing the exact look of metafor’s forest() output using ggplot2.

Mar 2026
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