Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.
☆105Dec 9, 2019Updated 6 years ago
Alternatives and similar repositories for TenSimpleRulesModeling
Users that are interested in TenSimpleRulesModeling are comparing it to the libraries listed below
Sorting:
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆13Oct 23, 2024Updated last year
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆251Updated this week
- Ten simple rules for the computational modeling of behavioral data☆15Aug 17, 2022Updated 3 years ago
- This folder contains all the material to be used in the FLUX 2021 Model-free and Model-based computational workshop☆18Sep 20, 2021Updated 4 years ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆66Jun 19, 2025Updated 8 months ago
- ☆32Nov 5, 2023Updated 2 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated last year
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Apr 30, 2021Updated 4 years ago
- Simple model-fitting tools☆61Jun 3, 2019Updated 6 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆25Aug 20, 2020Updated 5 years ago
- Development of HSSM package☆109Updated this week
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- A Python implementation of the VBA_groupBMC function from the VBA-toolbox by Lionel Rigoux.☆12Feb 15, 2023Updated 3 years ago
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆15May 20, 2021Updated 4 years ago
- ☆12Mar 27, 2019Updated 6 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Nov 21, 2022Updated 3 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 4 months ago
- Recipes for cognitive modeling using Stan [work in progress]☆13Sep 17, 2025Updated 5 months ago
- ☆16Jan 24, 2020Updated 6 years ago
- Code and data for the paper "Deconstructing the human algorithms for exploration"☆15May 15, 2019Updated 6 years ago
- The Mathematical Cognitive Neuroscience Toolbox (mcntoolbox). Code associated with the publication "How attention influences perceptual d…☆14Jan 27, 2021Updated 5 years ago
- Programs in Cognitive Choice Modeling Book☆11Sep 5, 2021Updated 4 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Jul 10, 2024Updated last year
- Reinforcement learning + drift-diffusion modeling☆38Jan 8, 2017Updated 9 years ago
- This project has moved to https://github.com/nimh-dsst/OpenCogData☆25Dec 3, 2023Updated 2 years ago
- TAPAS - Translational Algorithms for Psychiatry-Advancing Science☆245Jun 5, 2025Updated 8 months ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Oct 30, 2017Updated 8 years ago
- 计算精神病学在线文献报告讨论会(Computational psychiatry online journal club(CPoJC))☆54Aug 31, 2022Updated 3 years ago
- This repository contains all materials for the paper "Bayesian Item Response Modelling in R Using brms and Stan" by Paul Bürkner.☆31Feb 18, 2024Updated 2 years ago
- scripts for the computational modelling workshop at FLUX 2021☆17Oct 26, 2021Updated 4 years ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆32Dec 15, 2025Updated 2 months ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Nov 1, 2023Updated 2 years ago
- A Julia package for behavioural modeling☆25Dec 5, 2025Updated 2 months ago
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- ☆10Apr 5, 2022Updated 3 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- A Docker workflow to work reproducibly with papaja in RStudio☆10Nov 16, 2021Updated 4 years ago