GWeindel's repositories
DecomposingRT
Code and data for the paper Assessing model-based inferences in decision making with single-trial response time decomposition
EEG_preprocessing_mne
This is an example of my EEG preprocessing pipeline presentend at the meeting of the Cognitive Modelling group at the Rijksuniversiteit Groningen
Lecture_mental-chronometry-MASCO
Slides and R code for the course given to the 1st year master students of the Master de Sciences Cognitives at Aix-Marseille University 2020
arviz
Exploratory analysis of Bayesian models with Python
bambi
BAyesian Model-Building Interface (BAMBI) in Python.
gweindel.github.io-src
Source code for my website generated using the python Pelican package
jupyter-hide-code-html
HTML template for Jupyter Notebooks with hidden code cells that can be revealed as required
jupyter_case_studies
Inference case studies in jupyter
lecture_experimental_design
A lecture (in French) I gave to 3rd year Bachelor students at Aix-Marseille University between February an April 2020
lecture_mixed_models_AMU_2021
Contains all the code necessary to reproduce the lecture on mixed models in cognitive science given to doctoral students at Aix-Marseille University during the month of april 2021.
prop_drift_model
Proportional drift diffusion model, aka Palmer-fit
pystan
PyStan, the Python interface to Stan
Statistical-Rethinking-with-Python-and-PyMC3
Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath