tmiasko / pyjagsLinks
PyJAGS: The Python Interface to JAGS
☆12Updated 5 years ago
Alternatives and similar repositories for pyjags
Users that are interested in pyjags are comparing it to the libraries listed below
Sorting:
- ☆20Updated 6 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 years ago
- Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.☆14Updated 8 years ago
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆247Updated 3 months ago
- Run adaptive decision making experiments☆16Updated 4 years ago
- General Analysis Functions☆15Updated 9 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.☆25Updated 4 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆24Updated 7 years ago
- Automatically exported from code.google.com/p/py-smc2☆14Updated 10 years ago
- A drift-diffusion modeling (DDM) framework for Python☆105Updated 2 months ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 5 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆24Updated 5 years ago
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆30Updated last year
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 8 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆33Updated 2 years ago
- Code for Psychology 253☆17Updated 5 years ago
- HDDM is a python module that implements Hierarchical Bayesian parameter estimation of Drift Diffusion Models (via PyMC).☆296Updated last year
- A collection of simple implementation of various inference methods☆49Updated 3 years ago
- Package to Train LANs (Likelihood approximation networks)☆13Updated last week
- A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.☆10Updated 3 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 3 years ago
- Recipes for cognitive modeling using Stan [work in progress]☆12Updated 2 months ago
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 4 years ago
- Code and website accompanying Farrell & Lewandowsky's (2017) book☆67Updated 5 months ago
- computational and brain/behavior modeling☆32Updated 2 months ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 years ago
- Hierarchical meta-d' model☆74Updated last year
- scripts for the computational modelling workshop at FLUX 2021☆17Updated 4 years ago
- All the convenience of lme4 in python☆217Updated 3 months ago