Here, I collect some tricks I've learned about the {ggplot2} R package

👩‍💻👨‍💻 Awesome cheatsheets for popular programming languages, frameworks and development tools. They include everything you should know in one single file.

HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).

🌌 The R easystats-project

The Systematic Review Accelerator (SRA) for the Bond University IEBH

Simulation-Based Power Analysis

Data Science in the tidyverse, a two-day workshop @ rstudio:conf(2018)

Posit Cheat Sheets - Can also be found at https://posit.co/resources/cheatsheets/.

A fMRI tutorial, from raw data to BIDS and a task-related analysis.

Learning materials for using HDDM (Hierarchical Drift Diffusion Modeling)

mrC functions for visualization of source localization data