A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.
☆47Jul 10, 2024Updated last year
Alternatives and similar repositories for StanDDM
Users that are interested in StanDDM are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
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
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆15May 20, 2021Updated 4 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Feb 15, 2022Updated 4 years ago
- ☆12Mar 24, 2024Updated 2 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Jul 4, 2024Updated last year
- Wordpress hosting with auto-scaling - Free Trial • AdFully Managed hosting for WordPress and WooCommerce businesses that need reliable, auto-scalable performance. Cloudways SafeUpdates now available.
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Mar 13, 2024Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆19Oct 29, 2025Updated 5 months ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆14Aug 18, 2023Updated 2 years ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆21Jan 27, 2026Updated 2 months ago
- A tutorial on the standard drift diffusion model (DDM) with code in Matlab and ready-to-use functions.☆11Apr 1, 2017Updated 9 years ago
- Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances☆14Apr 10, 2025Updated last year
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆33Nov 1, 2023Updated 2 years ago
- Fast Implementations of the Diffusion Decision Model's PDF☆17Aug 1, 2024Updated last year
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆18Dec 4, 2023Updated 2 years ago
- Serverless GPU API endpoints on Runpod - Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Package to Train LANs (Likelihood approximation networks)☆15Mar 31, 2026Updated 2 weeks ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Jul 11, 2023Updated 2 years ago
- Code and data for Zhang & Gläscher (2020)☆16Aug 27, 2020Updated 5 years ago
- ☆59Aug 16, 2023Updated 2 years ago
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆257Mar 24, 2026Updated 3 weeks ago
- An R package for Bayes Factor Design Analysis☆30Nov 11, 2024Updated last year
- ☆20Apr 3, 2019Updated 7 years ago
- A docker image for running HDDM with parallel processing in jupyter notebook.☆33Dec 15, 2025Updated 4 months ago
- R package with functions to improve research workflow https://hauselin.github.io/hausekeep/☆10Jan 19, 2023Updated 3 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Jan 24, 2023Updated 3 years ago
- hypr is an R package for easy translation between experimental (null) hypotheses and contrast matrices as used for linear regression.☆17Nov 9, 2023Updated 2 years ago
- RT distributions in R☆50Jan 4, 2022Updated 4 years ago
- Ten simple rules for the computational modeling of behavioral data☆15Aug 17, 2022Updated 3 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆25Aug 20, 2020Updated 5 years ago
- Workshop on Mathematical Modeling of Cognitive Processes☆13Aug 8, 2018Updated 7 years ago
- An R package to help assess the sensitivity of a Bayesian model (fitted with Stan) to the specification of its likelihood and priors☆11Apr 8, 2025Updated last year
- Seems like, there isn’t enough Bayesian power analysis talk out there. Let’s change that.☆21Jul 24, 2019Updated 6 years ago
- Teaching materials for BayesCog at Faculty of Psychology, University of Vienna☆159Jun 17, 2021Updated 4 years ago
- GPUs on demand by Runpod - Special Offer Available • AdRun AI, ML, and HPC workloads on powerful cloud GPUs—without limits or wasted spend. Deploy GPUs in under a minute and pay by the second.
- Tutorial on representational similarity analysis for MIND 2018☆24Jul 25, 2018Updated 7 years ago
- Tutorial talks at the Chinese Open Science Webinar series☆32Aug 31, 2021Updated 4 years ago
- Urai AE, de Gee JW, Tsetsos K, Donner TH (2019) Choice history biases subsequent evidence accumulation. eLife☆15Jul 20, 2020Updated 5 years ago
- Contains the scripts, pre-trained networks, and data for our paper:☆19Aug 24, 2023Updated 2 years ago
- ☆42Sep 1, 2021Updated 4 years ago
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Apr 5, 2022Updated 4 years ago
- Teaching materials for BayesCog workshop, UKE Hamburg (Part 1).☆15Dec 4, 2023Updated 2 years ago