The JASP Statistics Project

jasp-desktop Public
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

C++ 520 AGPL-3.0 168 1 11 Updated Jan 21, 2022
jaspJags Public
The JAGS Module

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jaspMachineLearning Public
The Machine Learning Module

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jaspAudit Public
The 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.

R 1 13 0 1 Updated Jan 21, 2022
jaspFactor Public
The Factor Module

R 2 13 1 2 Updated Jan 21, 2022
jaspBain Public
The BAIN Module

R 0 8 0 1 Updated Jan 21, 2022
jaspDescriptives Public
The Descriptives Module

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jaspMetaAnalysis Public
The Meta Analysis Module

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jaspProcessControl Public

R 2 14 1 3 Updated Jan 20, 2022
jaspAnova Public
The ANOVA Module

R 1 16 0 1 Updated Jan 20, 2022

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