The JASP Statistics Project
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jasp-desktop
PublicJASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSSjaspCochrane
PublicjaspFactor
PublicjaspReliability
PublicThe Reliability ModulejaspFrequencies
PublicjaspAudit
PublicThe Audit module is developed to facilitate statistical auditing in both Bayesian and classical manifestations. The main feature is a workflow that helps guide auditors through the sampling process. Additionally, there are stand-alone analyses for planning, selecting, and evaluating a sample. The module is based on the R package jfa.jaspBain
PublicjaspTimeSeries
PublicjaspMachineLearning
PublicThe Machine Learning Module- The Descriptives Module
jaspDistributions
PublicThe Discover Distributions ModulejaspEquivalenceTTests
PublicjaspMixedModels
PublicjaspRegression
PublicThe Regression ModulejaspPredictiveAnalytics
PublicjaspSem
PublicjaspAnova
PublicjaspTTests
PublicjaspMetaAnalysis
PublicThe Meta Analysis ModulejaspSummaryStatistics
PublicjaspNetwork
Publicactions-dashboard
PublicjaspColumnEncoder
PublicjaspVisualModeling
PublicThe Visual Modeling ModulejaspTestModule
PublicjaspSurvival
PublicjaspRobustTTests
PublicjaspQualityControl
PublicjaspProphet
PublicjaspProcess
PublicThe PROCESS module