Features

See the list below for all the modules and its analyses currently available in JASP. To find out how to perform certain analyses or how to use certain features, visit the How to Use JASP section. If you think that JASP is missing an important analysis, you can issue a feature request. To see how JASP compares to SPSS, have a look at this overview made by Thomas Langkamp.

JASP currently reads the following formats: text files (csv, txt and tsv format), SPSS files (sav, zsav and por format), SAS files (sas7bda, sas7bcat and xpt format), Excel files (xls and xlsx format), Open Document files (ods format), Stata files (dta format), R files (rdata and rds format), and of course the jasp format.

Modules	Frequentist	Bayesian
Descriptives Descriptives Statistics Raincloud Plots Time Series Descriptives Flexplot	✓	–
T-Tests Classical Independent Samples T-Test Paired Samples T-Test One Sample T-Test Bayesian Independent Samples T-Test Paired Samples T-Test One Sample T-Test	✓	✓
ANOVA Classical ANOVA Repeated Measures ANOVA ANCOVA MANOVA Bayesian ANOVA Repeated Measures ANOVA ANCOVA	✓	✓
Mixed Models Classical Linear Mixed Models Generalized Linear Mixed Models Bayesian Linear Mixed Models Generalized Linear Mixed Models	✓	✓
Regression Classical Correlation Linear Regression Logistic Regression Generalized Linear Model Bayesian Correlation Linear Regression Logistic Regression	✓	✓
Frequencies Classical Binomial Test Multinomial Test Contingency Tables Log-Linear Regression Bayesian Binomial Test A/B Test Multinomial Test Informed Multinomial Test Informed Multi-Binomial Test Contingency Tables Log-Linear Regression	✓	✓
Factor Principal Component Analysis Exploratory Factor Analysis Confirmatory Factor Analysis	✓	–
Acceptance Sampling Attribute Sampling Create Attribute Plan Analyze Attribute Plan Variable Sampling Create Variable Plan Analyze Variable Plan Accept/Reject Lots	✓	✓
Audit Audit Sampling Sampling Workflow Bayesian Sampling Workflow Planning Bayesian Planning Selection Evaluation Bayesian Evaluation True Value Estimation Data Auditing Benford’s Law Repeated Values Algorithm Auditing Fairness workflow Evaluation	✓	✓
Bain T-Tests Welch’s T-Test Paired Samples T-Test One Sample T-Test ANOVA ANOVA ANCOVA Regression Linear Regression Structure Equation Modeling	–	✓
Bayes Factor Functions Z-Tests One Sample Z-Test Independent Samples Z-Test T-Tests One Sample Z-Test Independent Samples Z-Test Regression ANOVA Frequencies Chi2-Test	–	✓
BFpack T-Tests Independent Samples T-Test Paired Samples T-Test One Sample T-Test Multivariate T-Test ANOVA (M)AN(C)OVA Regression Linear (Multivariate) Regression Ordered (Logistic) Regression Correlation Variances Variances	✓	–
BSTS	–	✓
Circular Statistics Circular Descriptives Circular Descriptives Hypothesis Tests Circular One Sample Tests Circular Multiple Sample Tests	✓	–
Cochrane Meta-Analyses Classical Continuous Outcomes Dichotomous Outcomes Bayesian Continuous Outcomes Dichotomous Outcomes	✓	✓
Distributions Continuous Normal Skew normal Generalized normal (version 1) Cauchy Scaled, shifted Student’s t Noncentral t Skew t Skewed generalized t F-Distribution Chi-squared Uniform Beta Stretched beta Beta prime Gamma Inverse gamma Exponential Laplace Log-normal Logistic Log-logistic Pareto Amoroso Fréchet Gumbel Gompertz Triangular Wald (inverse Gaussian) Weibull Mixture of normal and normal Mixture of normal and uniform Discrete Bernouilli Binomial Beta-binomial Poisson Negative binomial Zero-inflated Poisson Zero-inflated negative binomial Geometric Hypergeometric	✓	✓
Equivalence T-Tests Classical Independent Samples T-Test Paired Samples T-Test One Sample T-Test Bayesian Independent Samples T-Test Paired Samples T-Test One Sample T-Test	✓	✓
JAGS	–	✓
Learn Bayes Binary Classification Binary Classification Counts Binomial Estimation Binomial Testing The Problem of Point Game of Chance Game of Skill Buffon’s Needle Simulating Buffon’s Needle Manipulating Buffon’s Needle	–	✓
Learn Stats Normal Distribution Binomial Distribution Central Limit Theorem Standard Error Descriptive Statistics Sample Variability P Values Confidence Intervals Effect Sizes Statistical Test Decision Tree	✓	–
Machine Learning Regression Boosting Decision Tree K-Nearest Neighbors Linear Neural Network Random Forest Regularized Linear Support Vector Machine Classification Boosting Decision Tree K-Nearest Neighbors Linear Discriminant Logistic/Multinomial Naive Bayes Neural Network Random Forest Support Vector Machine Clustering Density-Based Fuzzy C-Means Hierarchical Model-Based Neigborhood-Based Random Forest Prediction Prediction	✓	–
Meta-Analysis Miscellaneous Effect Size Computation Funnel Plot Classical Meta-Analysis Meta-Analysis (MultiLevel/MultiVariate) Mantel-Haenszel / Peto Prediction Model Performance WAAP-WLS PET-PEESE Selection Models Meta-Analytic SEM SEM-Based Meta-Analysis Bayesian Meta-Analysis Binomial Meta-Analysis Penalized Meta-Analysis Prediction Model Performance Robust Bayesian Meta-Analysis	✓	✓
Network Frequentist Network Bayesian Network	✓	✓
Power	✓	–
Predictive Analytics	✓	–
Process Classical Classical Process Model Bayesian Bayesian Process Model	✓	✓
Prophet	–	✓
Quality Control Measurement Systems Analysis Type 1 Instrument Capability Study Type 2 and 3 Gauge r&R Study Gauge r&R Study (non-replicable measurements) Type 4 Linearity Study Attributes Agreement Analysis Test-retest (Range method) Probability of Detection Control Charts Variables Charts for Subgroups Variables Charts for Individuals Control Charts for Attributes Time Weighted Charts Rare Event Charts Capibility Study Process Capibility Study Design of Experiments Create Factorial Worksheet Create Response Surface Worksheet Analysis Design	✓	–
Reliability Classical Unidimensional Reliability Intraclass Correlation Rater Agreement Bland-Altman Plots Standard Error of Measurement Bayesian Unidimensional Reliability	✓	✓
Robust T-Tests Model-Averaged T-Test Robust Model-Averaged T-Test Truncated Model-Averaged T-Test	–	✓
Structural Equation Modeling (SEM) Structural Equation Modeling Partial Least Squares SEM Mediation Analysis MMIC Model Latent Growth MNLFA	✓	–
Survival Non-parametric Semi-parametric Parametric	✓	–
Time Series Descriptives Stationarity ARIMA Spectral Analysis	✓	–
Summary Statistics Classical Test Statistics T-Tests Bayesian Independent Samples T-Test Bayesian Paired Samples T-Test Bayesian One Sample T-Test Regression Bayesian Correlation Bayesian Linear Regression Frequencies Bayesian Binomial Test Bayesian A/B Test Miscellaneous Bayesian Z-Test General Bayesian Tests	✓	✓
Visual Modeling Flexplot Linear Modeling Mixed Modeling Generalized Linear Modeling	✓	–