Design of Experiments in Julia
OTHER License
Linear Regression for Julia
A Julia package for Beta-like regression models useful for subjective scales data (Likert scales,...
Classical Test Theory analysis in Julia
[draft] Agnostic Machine Learning models working on CPUs, GPUs, distributed architecture, etc.
A unified interface for simulating and evaluating sequential sampling models in Julia.
Performance and data profiles
Bayesian Generalized Linear models using `@formula` syntax.
Implementation of robust dynamic Hamiltonian Monte Carlo methods (NUTS) in Julia.
A Julia package for robust regressions using M-estimators and quantile regressions
A Julia package for grid-based adaptive design optimization.
A decision-making framework for the cost-efficient design of experiments, balancing the value of ...
Kernel Density Estimate with product approximation using multiscale Gibbs sampling