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Name: Simon Kucharsky
Type: User
Company: TU Dortmund
Bio: PostDoc at TU Dortmund | BayesFlow | JASP | Bayesian modeling, eye-tracking
Twitter: Kucharssim
Location: Dortmund
Name: Simon Kucharsky
Type: User
Company: TU Dortmund
Bio: PostDoc at TU Dortmund | BayesFlow | JASP | Bayesian modeling, eye-tracking
Twitter: Kucharssim
Location: Dortmund
A Python library for amortized Bayesian workflows using generative neural networks.
Full Bayesian Inference for Hidden Markov Models
An algorithm for classifying gaze data into eye movement events using a hidden Markov model.
An algorithm for classifying gaze data into eye movement events using a hidden Markov model.
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 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.)
The ANOVA Module
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.
The BAIN Module
The basic R pkg for JASP
A circular statistics module for JASP
A dynamic JASP module for circular statistics.
The Descriptives Module
The Discover Distributions Module
The Factor Module
The Frequencies Module
Basic r pkg for plotting in JASP
The JAGS Module
A module to help learn bayesian statistics
The Machine Learning Module
The Meta Analysis Module
The Mixed Models Module
This repo has the required folder structure and some configuration files for a JASP module.
The Network Analysis Module
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