bucky2177 / dRiftDMLinks
dRiftDM
☆12Updated 3 weeks ago
Alternatives and similar repositories for dRiftDM
Users that are interested in dRiftDM are comparing it to the libraries listed below
Sorting:
- Python Package which collects simulators for Sequential Sampling Models☆17Updated this week
- Package to Train LANs (Likelihood approximation networks)☆13Updated last week
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆18Updated 3 weeks ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in R. These scripts provide useful examples for using JA…☆12Updated last year
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆47Updated last year
- 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☆18Updated last year
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated 2 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- 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…☆29Updated last year
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆33Updated 2 years ago
- ☆25Updated this week
- ☆12Updated last year
- Reaction Time Distributions - An Interactive Overview☆44Updated 4 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Updated last year
- Open database for inhibition tasks☆10Updated 2 years ago
- Contains the code for reproducing the experiments and results of the paper "Neural Superstatistics: A Bayesian Method for Estimating Dyna…☆12Updated 2 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
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances☆14Updated 7 months ago
- R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimu…☆21Updated last year
- Run adaptive decision making experiments☆16Updated 4 years ago
- Programs in Cognitive Choice Modeling Book☆11Updated 4 years ago
- Metacognitive efficiency modelling in Python.☆19Updated 2 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated 2 months ago
- An R package for Bayes Factor Design Analysis☆30Updated last year
- RT distributions in R☆49Updated 3 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago