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

Estimation Statistics with Confidence Intervals

Underlying code for the online stats training website.

raincloudplots workshops

The Meta Analysis Module

jfa is an R package that provides statistical methods for auditing. Its functionality and intended workflow are implemented with a graphical user interface in the Audit module of JASP (https://jasp-stats.org), a free and open-source software program for statistical analyses.

R package delivered with jasp-desktop that simplifies developing and testing analyses

The T-Tests Module

The Machine Learning Module

The Mixed Models Module

The Reliability Module

The Audit module is developed to facilitate statistical auditing in both Bayesian and classical manifestations. The main feature is a workflow that helps guide auditors through the sampling process. Additionally, there are stand-alone analyses for planning, selecting, and evaluating a sample. The module is based on the R package jfa.

All third party binaries and R packages for different versions of JASP are maintained here

The Descriptives Module

A module to help learn bayesian statistics

Basic r pkg for plotting in JASP

A circular statistics module for JASP