JASP 0.14 will offer important new functionality, including: Robust Bayesian meta-analysis; Selection models; Learn Bayes module; PDF export of result; Choose your font; German translation; Frequentist partial correlations; Confidence and prediction intervals in linear regression; And new distributions in the distributions module (log-normal and logistic). Stay tuned for JASP 0.14! Out soon.
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This is an update regarding the JASP summer workshop “Theory and Practice of Bayesian Hypothesis Testing” scheduled for August 24-25, 2020. Due to the pandemic, the workshop will take place online. However, we aim to make use of a number of tools to create a smooth, fun, and interactive learning experience. Lectures will be held on Zoom, and video recordings…
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From JASP 0.13 onwards, it is possible to save JASP graphs “as pptx”, courtesy of the R package “officer”. The resulting .pptx file can then be easily edited in Powerpoint or its open-source cousin Impress. Hence, “save as pptx” offers a new opportunity to edit JASP graphs. Obviously this is a temporary patch and not the ultimate solution; full graph…
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JASP 0.13.1 fixes several small issues. Specifically: Previously, our new “save as powerpoint” option for figures did not work on MacOS. Now it does. For some time, JASP was unstable on MacOS with Intel Iris GPU. This has now been fixed. Windows users with a “foreign” character in their username experienced problems. We have resolved this. A bug concerning changing…
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This is an update regarding the Amsterdam summer workshop “Bayesian Modeling for Cognitive Science” originally scheduled for August 17-21, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned. With a heavy heart, we therefore decided to postpone the workshop to next year. We believe that the…
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This is an update regarding the JASP summer workshop “Theory and Practice of Bayesian Hypothesis Testing” originally scheduled for August 24-25, 2020. Unfortunately, the ongoing outbreak of COVID19 and the associated international travel restrictions make it impossible to proceed with the workshop as planned. We therefore decided to offer an online version of the workshop on the same dates. The…
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JASP 0.13 has been released and is now available on our download page. JASP 0.13 contains the following new features and improvements: Linear Mixed Models and Generalized Linear Mixed Models. JASP version 0.13 adds the possibility to analyze both classical and Bayesian linear mixed models and generalized linear mixed models. This analysis is now available on the ribbon, in between…
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As statistics instructors, students, and researchers around the world discover JASP, more of them a seeking guidance on how to use it. When your software is being developed at “breakneck speed” it is sometimes difficult to keep up with training. The JASP team has added a series of training videos for common frequentist statistical tests using the newest JASP Version…
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In a previous post, “Hell is other people’s data”, we introduced a first attempt to document the 50 data sets that constitute the JASP Data Library. At the time, we only had a preface and two chapters. We are happy to report that all 50 data sets have now been documented. Each of the 50 chapters follows the JASP data…
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This post demonstrates the Equivalence Testing Module, new in JASP 0.12. In traditional hypothesis testing, both frequentist and Bayesian, the null hypothesis is often specified as a point (i.e., there is no effect whatsoever in the population). Consequently, in very large samples, small but practically meaningless deviations from the point-null will lead to its rejection. In order to take into…
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At Utrecht University JASP is increasingly used by lecturers in statistics courses and by thesis students and researchers for the (Bayesian) evaluation of their data. To contribute to the further development of JASP and to facilitate its use at Utrecht University a pilot project has started executed by scientists from Utrecht University. Core features of this project are: the addition…
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