tmiasko / pyjags
PyJAGS: The Python Interface to JAGS
☆12Updated 4 years ago
Alternatives and similar repositories for pyjags:
Users that are interested in pyjags are comparing it to the libraries listed below
- Comparative analysis of pairwise interactions in multivariate time series.☆13Updated last year
- Dynamical graphical models for multivariate time series data to estimate directed dynamic relationships in networks.☆25Updated 3 years ago
- ☆20Updated 6 years ago
- Hierarchical Bayesian estimation and hypothesis testing for delay discounting tasks☆23Updated 7 years ago
- A package to compute and test the significance of linear dependence between multiple autocorrelated time series.☆17Updated 3 years ago
- Textbook on Bayesian Data Analysis for Cognitive Science, Nicenboim, Schad, Vasishth☆15Updated 2 months ago
- Research code for Mixed Neural Likelihood Estimation (MNLE, Boelts et al. 2022)☆17Updated last year
- Bayesian mixed-effects modeling of fMRI data in Python☆39Updated 3 years ago
- Automatically exported from code.google.com/p/py-smc2☆14Updated 9 years ago
- General Analysis Functions☆14Updated 8 years ago
- Code accompanying "Likelihood Approximation Networks (LANs) for Fast Inference of Simulation Models in Cognitive Neuroscience"☆14Updated 4 years ago
- Reaction Time Distributions - An Interactive Overview☆44Updated 3 years ago
- Inverse binomial sampling for efficient log-likelihood estimation of simulator models in MATLAB☆32Updated last year
- Code for a Tutorial on using the Neural Network Extension of HDDM☆22Updated 2 years ago
- A Google Chrome Extension and native hosts allowing jspsych to interact with hardware☆16Updated 6 years ago
- Run adaptive decision making experiments☆16Updated 3 years ago
- Package to Train LANs (Likelihood approximation networks)☆11Updated this week
- Repository for example Hierarchical Drift Diffusion Model (HDDM) code using JAGS in Python. These scripts provide useful examples for usi…☆27Updated last year
- Docker container prebuilt with python tools for demos and workshops☆15Updated 6 years ago
- CHaRTr: An R toolbox for modeling Choices and Response Times in decision-making tasks☆17Updated 3 years ago
- Bayesian Parameter Estimation (based on pystan) of reinforcement learning and sequential sampling models, and combinations of the two.☆31Updated last year
- R package for permutation test in linear model with nuisances variables☆13Updated 8 months ago
- C++ Diffusion model toolset with Python and Matlab interfaces☆16Updated 4 years ago
- Multi-task regression in Python☆25Updated 4 years ago
- Infer activity throughout the brain from a small(ish) number of electrodes using Gaussian process regression☆35Updated 3 years ago
- Code for Psychology 253☆16Updated 4 years ago
- Neural drift-diffusion model (NDDM) is a repository to integrate simultaneously both single-trial EEG measures and behavioral performance…☆17Updated 10 months ago
- Bayesian Cognitive Modelling☆19Updated 8 months ago
- A library of MATLAB functions for visualization, processing, and analysis of output from Bayesian models fit with Stan.☆9Updated 3 years ago
- A drift-diffusion modeling (DDM) framework for Python3☆17Updated last year