Cognitive Models: Computational Modeling of Cognitive Processes with Bayesian Mixed Models in Julia
A unified interface for simulating and evaluating sequential sampling models in Julia.
Examples for Bayesian inference using DynamicHMC.jl and related packages.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
Network Hawkes processes in Julia.
A Julia package for Beta-like regression models useful for subjective scales data (Likert scales,...
Distributed MCMC Inference in Dirichlet Process Mixture Models (High Performance Machine Learning...
Please do not feed the models
Bayesian Generalized Linear models using `@formula` syntax.
Toolkit functions and example outputs for Bayesian (Structural) Vector Autoregressive (VAR) models
Slides for the "Interpretable SDM with Julia" workshop
Bayesian Cognitive Modeling with Turing.jl (Julia Programming Language)