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:
- Vincent, B. T. (2015) A tutorial on Bayesian models of Perception, Journal of Mathematical Psychology.☆14Updated 7 years ago
- Hierarchical Bayesian modeling of RLDM tasks, using R & Python☆246Updated 3 weeks ago
- ☆20Updated 6 years ago
- A python toolbox for the Gaze Weighted Linear Accumulator Model (GLAM)☆17Updated 2 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆16Updated 4 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
- A drift-diffusion modeling (DDM) framework for Python☆101Updated 2 months ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 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).☆289Updated last year
- Hierarchical meta-d' model☆70Updated last year
- Automatically exported from code.google.com/p/py-smc2☆14Updated 10 years ago
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- python port: An Introduction to Bayesian Data Analysis for Cognitive Science☆15Updated 2 years ago
- Functions for calculating mutual information and other information theoretic quantities using a parametric Gaussian copula.☆93Updated 5 years ago
- Run adaptive decision making experiments☆16Updated 3 years ago
- A collection of simple implementation of various inference methods☆48Updated 3 years ago
- Code and data for Zhang, Lengersdorff et al. (2020)☆23Updated 5 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 7 years ago
- A toolbox for data analysis using the attentional drift-diffusion model.☆17Updated 7 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆32Updated last year
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆18Updated last year
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- Development of HSSM package☆102Updated this week
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- Code for the figures in the "Ten Simple Rules for Computational Modeling of Behavioral Data" paper.☆101Updated 5 years ago
- Python class that performs finite impulse response fitting on time series data.☆21Updated 2 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated 2 years ago
- All the convenience of lme4 in python☆210Updated 3 weeks ago
- RT distributions in R☆49Updated 3 years ago