kiante-fernandez / Rhddmjags
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 6 months ago
Alternatives and similar repositories for Rhddmjags:
Users that are interested in Rhddmjags are comparing it to the libraries listed below
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated last year
- Bayesian Cognitive Modelling☆19Updated 8 months ago
- ☆18Updated this week
- Toolbox enabling the model-free and model-based analysis of IGT data☆16Updated 3 years ago
- ☆12Updated last year
- Method to fit the a hierarchical time-varying sequential sampling and an attentional drift diffusion model.☆14Updated 3 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- A simple R package for calculating (meta-) SDT measures☆16Updated last year
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- scripts for the computational modelling workshop at FLUX 2021☆16Updated 3 years ago
- Code and data for Zhang & Gläscher (2020)☆15Updated 4 years ago
- Package to Train LANs (Likelihood approximation networks)☆11Updated last week
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated 9 months ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆26Updated last year
- Python Package which collects simulators for Sequential Sampling Models☆13Updated last week
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 4 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated 6 months ago
- Online supplement for Neurocomputational mechanisms underlying motivated seeing (Leong. et al., 2019)☆9Updated 4 years ago
- A little package to visualize ERPs in R☆14Updated 10 months ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- Computational modeling tutorials for cognitive science☆13Updated 2 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆11Updated last year
- Open database for inhibition tasks☆10Updated last year
- an R package for importing EDF files from Eyelink eyetrackers☆24Updated 2 years ago
- Reaction Time Distributions - An Interactive Overview☆44Updated 3 years ago
- RT distributions in R☆47Updated 3 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated last year
- Code for creating online tasks to study human reinforcement learning☆9Updated 6 years ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆18Updated 5 months ago
- A package for manipulating EEG data in R.☆22Updated 3 months ago