Julia package for estimating parameters, fitting data, and generating profile likelihood plots.
MIT License
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A unified interface for simulating and evaluating sequential sampling models in Julia.
Approximate variational inference in Julia
Evidential Deep Learning Layers for Flux
Graphical tools for Bayesian inference and posterior predictive checks
Nonlinear regression in Julia
A Julia package for robust regressions using M-estimators and quantile regressions
ParameterEstimation.jl is a Julia package for estimating parameters and initial conditions of ODE...
A simple but generic implementation of Expectation Maximization algorithms to fit mixture models.
Performance and data profiles
Show Julia profiling data in an explorable HTML page
Non-homogenous Hidden Markov Models
Estimation of person parameters for item response models in Julia
Super long name to do binary data HMM (possibly non homogeneous) with extra dependence on past ob...
Linear Regression for Julia
Kernel Density Estimate with product approximation using multiscale Gibbs sampling