kiante-fernandez / RhddmjagsLinks
Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JAGS with R2jags, the JAGS Wiener module, mixture modeling in JAGS, and Bayesian diagnostics in R.
☆12Updated last year
Alternatives and similar repositories for Rhddmjags
Users that are interested in Rhddmjags are comparing it to the libraries listed below
Sorting:
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated 2 years ago
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆18Updated 2 months ago
- ☆12Updated last year
- dRiftDM☆13Updated last week
- Reaction Time Distributions - An Interactive Overview☆44Updated 4 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated last year
- A simple R package for calculating (meta-) SDT measures☆18Updated last year
- Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia☆13Updated last year
- ☆24Updated last week
- Python Package which collects simulators for Sequential Sampling Models☆16Updated last week
- Fast Access to MNE-Python From Within R☆29Updated 5 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆28Updated last year
- Package to Train LANs (Likelihood approximation networks)☆12Updated last week
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Stan + cmdstanr recoding of Bayesian Cognitive Modeling☆12Updated 2 years ago
- A little package to visualize ERPs in R☆14Updated 5 months ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Updated last year
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Updated 3 years ago
- RT distributions in R☆49Updated 3 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated last month
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- Code and data for Zhang & Gläscher (2020)☆16Updated 5 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Updated last year
- ☆31Updated last year
- Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances☆14Updated 6 months ago
- Open database for inhibition tasks☆10Updated 2 years ago
- Programs in Cognitive Choice Modeling Book☆11Updated 4 years ago
- scripts for the computational modelling workshop at FLUX 2021☆17Updated 4 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago