Software to Sharpen Your Stats
Jonathon Love, Ravi Selker, Josine Verhagen, Maarten Marsman, Quentin F. Gronau, Tahira Jamil, Martin Šmíra, Sasha Epskamp, Anneliese Wild, Alexander Ly, Dóra Matzke, Eric‐Jan Wagenmakers, Richard Donald Morey, Jeffrey N. Rouder · UvA-DARE (University of Amsterdam) · 2015
While there is a call for the use of novel statistical inference methods in the social sciences, the scientific community is slow in adapting to using such statistical methods. A possible reason for this is that state-of-the-art statistical methods are mostly implemented in the statistical programming language R whereas empirical social scientists more often rely on propitiatory statistical software such as SPSS. We introduce JASP, an graphical environment for statistical analyses that combines the strength of R, open-source and state-of-the-art statistical methods, with the flexibility and accessibility of proprietary statistical software. JASP provides a rich graphical user interface and implements a wide range of classical as well as Bayesian analyses. JASP is freely available for Windows, Mac OS X and Linux under an open source license from https://jasp-stats.org.