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Simon Kucharsky's Projects

bayesflow icon bayesflow

A Python library for amortized Bayesian workflows using generative neural networks.

bayeshmm icon bayeshmm

Full Bayesian Inference for Hidden Markov Models

gazehmm icon gazehmm

An algorithm for classifying gaze data into eye movement events using a hidden Markov model.

gazehmm_validation icon gazehmm_validation

An algorithm for classifying gaze data into eye movement events using a hidden Markov model.

jasp-desktop icon jasp-desktop

JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

jasp-learnstats icon jasp-learnstats

JASP Learn Statistics Module is an officially supported add-on module for JASP (www.jasp-stats.org) that is no longer under development here, but moved under Distributions (https://github.com/Kucharssim/DiscoverDistributions). The aim of the module is to provide interactive tutorials for important concepts in statistics (e.g., probability distributions and their properties, fitting Bayesian and frequentist models, etc.)

jaspaudit icon jaspaudit

The Audit module is developed for (frequentist and Bayesian) statistical auditing. It implements a guided workflow for audit sampling and stand-alone analyses for planning, selecting, and evaluating a sample. The module is based on the R package jfa.

jaspmoduletemplate icon jaspmoduletemplate

This repo has the required folder structure and some configuration files for a JASP module.

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