The ebook lives here: https://solomon.quarto.pub/sr/

Introduction to Bayesian Data Analysis for Cognitive Science by Nicenboim, Schad, Vasishth

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Course Content for PSCI 3300 Political Science Research Methods

Applied modelling in drug development: flexible Bayesian regression modelling in Stan via brms

Formation doctorale d'introduction à la modélisation statistique bayésienne

Can visualization alleviate dichotomous thinking? Effects of visual representations on the cliff effect

Workshop - Introduction to Bayesian statistical modelling

Material for a workshop "Introduction to Bayesian statistics with R"

Workshop on pipeline development and model deployment onto Kubernetes via Docker using R.

Fit GLMM with brms

Using Configuration oriented build tool Apache Maven for Build and Release Management

Please go to the website for these online lectures:

Preprocessed data and analysis scripts of the manuscript "Rapid processing of neutral and angry expressions within ongoing facial stimulus streams: Is it all about isolated facial features?".

R Markdown scripts and knitted HTML files from the Applied Statistical Modelling course at HU Berlin, Geography department, summer term 2021

The bookdown version lives here: https://bookdown.org/connect/#/apps/1850/access

An example of how to use a BPMN process defined within another KJAR within a different KJAR process.

Available R-Packages for Gaussian Process Regression