"Bayesian Reanalyses from Summary Statistics: A Guide for Academic Consumers".
Create columns: Use either R code or a drag-and-drop GUI to create new variables from existing ones.Data filtering: Use either R code or a drag-and-drop GUI to select cases of interest.Imports SPSS files and comma-separated files.Assumption checks for all analyses, including Levene's test, the Shapiro–Wilk test, and Q–Q plot.Visual Modeling: Linear, Mixed, Generalized Linear The following analyses are available in JASP:ĪNOVA, ANCOVA, Repeated measures ANOVA and MANOVAĬontingency tables (including Chi-squared test)Ĭorrelation: Pearson, Spearman, and KendallĮquivalence T-Tests: Independent, Paired, One-Sample Bayesian inference uses credible intervals and Bayes factors to estimate credible parameter values and model evidence given the available data and prior knowledge. Frequentist inference uses p-values and confidence intervals to control error rates in the limit of infinite perfect replications.
JASP (Version 0.8.0.1).JASP offers frequentist inference and Bayesian inference on the same statistical models. At present, there are no publications you can cite for JASP (there are several in the pipeline, however!).
Citations are an important measure of how widely software is used, and an important indicator to funding bodies of JASP’s relevance. One of the best ways that you can support the JASP project is by citing it.
Compared to all other packages, the JASP base package off ers a targeted and popular series of tests, both in their classical and Bayesian manifestations.
Compared to free packages such as R, JASP offers a smooth “drag and drop” user experience that removes the requirement of computer programming that many students and practitioners experience as burdensome and distracting. Compared to commercial packages such as SPSS, JASP is free, open-source, actively developed, and includes Bayesian methods for parameter estimation and hypothesis testing. JASP offers many advantages over popular competing packages.
JASP features popular classical analysis tools such as ANOVA and regression, but also contains their Bayesian counterparts. Completely free, open-source, and cross-platform, JASP allows its users to conduct statistical analyses with ease, using a spreadsheet layout and a familiar drag-and-drop interface.