igmmgi / DMCfunLinks
R/Cpp implementation of the diffusion process model (Diffusion Model for Conflict Tasks, DMC) presented in Automatic and controlled stimulus processing in conflict tasks: Superimposed diffusion processes and delta functions (https://www.sciencedirect.com/science/article/pii/S0010028515000195)
☆20Updated 11 months ago
Alternatives and similar repositories for DMCfun
Users that are interested in DMCfun are comparing it to the libraries listed below
Sorting:
- ☆12Updated last year
- ggdmc provides tools to conduct Bayesian inference on a range of choice response time models.☆18Updated 2 months ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- Toolbox enabling the model-free and model-based analysis of IGT data☆17Updated 3 years ago
- Tools and examples for fitting (Hierarchical) Drift Diffusion Models in R☆11Updated 2 years ago
- A collection of different Drift Diffusion Models implemented in the probabilistic programming language Stan.☆46Updated last year
- Multinomial-Processing-Tree Modeling: Basic Methods and Recent Advances☆14Updated 6 months ago
- A simple R package for calculating (meta-) SDT measures☆18Updated last year
- Reaction Time Distributions - An Interactive Overview☆44Updated 4 years ago
- dRiftDM☆13Updated last week
- 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 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
- RT distributions in R☆49Updated 3 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated last month
- Programs in Cognitive Choice Modeling Book☆11Updated 4 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Updated last year
- Run adaptive decision making experiments☆16Updated 3 years ago
- Code and data for Zhang & Gläscher (2020)☆16Updated 5 years ago
- ☆24Updated this week
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Updated last year
- Python Package which collects simulators for Sequential Sampling Models☆16Updated last week
- A docker image for running HDDM with parallel processing in jupyter notebook.☆30Updated 7 months ago
- An R package for Bayes Factor Design Analysis☆30Updated 11 months ago
- scripts for the computational modelling workshop at FLUX 2021☆17Updated 4 years ago
- A library intended to simplify use of Bayesian statistics in psychology.☆15Updated 3 months ago
- Package to Train LANs (Likelihood approximation networks)☆12Updated 2 weeks ago
- Methods and Measures for Brain, Cognitive, and Psychometric Network Analysis☆24Updated 5 months ago
- Open database for inhibition tasks☆10Updated 2 years ago
- ☆17Updated 3 years ago