Martin Šmíra

TL;DR: This part of this series introduces JASP (http://www.jasp-stats.org), an open-source, cross-platform, user-friendly graphical software package that allows users to carry out Bayesian hypothesis tests for standard statistical problems.

TL;DR: Ten prominent advantages of the Bayesian approach are outlined, and several objections to Bayesian hypothesis testing are countered.

TL;DR: This paper introduces JASP, a free graphical software package for basic statistical procedures such as t tests, ANOVAs, linear regression models, and analyses of contingency tables that provides some of the recent developments in Bayesian hypothesis testing and Bayesian parameter estimation.

TL;DR: This work introduces 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.

TL;DR: A Bayesian alternative based on Bayesian repeated-measures ANOVA for comparing performance, and a suite of three complementary model-based methods for assessing the cognitive processes underlying IGT performance are presented, highlighting the advantages of Bayesian methods, especially their ability to quantify evidence in favor of the null hypothesis.