We are happy to announce that JASP 0.16 has been released and is now available on our download page. JASP 0.16 contains the following new features and improvements:
- The Meta-Analysis module now includes popular adjustment techniques for publication bias and small study effects: (1) PET-PEESE
- and (2) WAAP-WLS.
- Another addition to the Meta-Analysis module is Prediction Model Performance. It is an implementation of the metamisc package which provides analysis of diagnosis and prognosis research studies.
- The Machine Learning module has been expanded so that you can now (1) perform Neural Network regression and classification analyses,
- (2) save your models as .jaspML files,
- (3) and load .jaspML files to apply to new data in the new Prediction analysis.
- Inspired by the work of Zoltan Dienes, General Bayesian Tests has been added to the Summary Statistics module. The General Bayesian Tests allows one to test a hypothesis about a parameter for various likelihood functions. It has implemented the bayesplay package.
These are just a few highlights — JASP 0.16 contains much more. For a complete list of features, improvement and bug fixes view our release notes.
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