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
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Updated
Nov 4, 2025 - C++
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
Underlying code for the online stats training website.
The Machine Learning Module
This repo has the required folder structure and some configuration files for a JASP module.
The Audit module is designed to support statistical auditing using both Bayesian and classical approaches. The module is based on the R package jfa.
A module to help learn bayesian statistics
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