JASP

A Fresh Way to do Statistics

JASP, a low fat alternative to SPSS, a delicious alternative to R. Now with extra Ravi!

JASP 0.4

Source code is available on GitHub here

The Bayesian Analyses in JASP are powered by the BayesFactor package

News

New slides available - 29-09-2014

The slides from Jonathon's presentation at University of Mannheim are available here


Version 0.4 is available now - 11-09-2014

This release brings:

  • Bayesian ANOVA (basic implementation)
  • Classical Repeated Measures ANOVA (basic implementation)
  • Numerous bug fixes
  • Increased level of polish and refinement across the board
  • We are preparing a number of resources for understanding the Bayesian analyses which we will be making available in the coming months. You can read about the Bayesian ANOVA here.


    We are looking for individuals that teach statistics, who would be interested in teaching JASP at their institution. JASP already contains many analyses, and more are added each week. We may have all the analyses you need by the time your semester begins. Drop us a line, and talk to us about your needs. We are very keen to support the teaching of JASP!

    Jonathon can be contacted at: jon [at] thon [dot] cc


    Features

    Coming soon!

    Limitations

    Bug Reports, Feature Requests

    Bug Reports and Feature Requests can be made through JASP's GitHub page, here

    About

    JASP is a collaborative project. See the GitHub contributors page for details