TerrSet is an integrated geospatial software system for monitoring and modeling the earth system for sustainable development. The TerrSet system incorporates the IDRISI GIS Analysis and IDRISI Image Processing tools along with a constellation of vertical applications. IReport/Jaspersoft Studio Support Announcement As of version 5.5.0, Jaspersoft Studio will be the official design client for JasperReports. IReport will remain as a supported product in maintenance-only mode until December 31, 2015, meaning we will continue to fix critical defects in upcoming releases but no new features will be added to the iReport client. Continue to maintain your existing. Statistical software, free download - Nokia Software Updater, Software Update, AV Voice Changer Software, and many more programs. This video demonstrates the basic functionality of JASP. The files used in this video can be downloaded at: osf.io/b8mj6 Connect with JASP:Website: https://j. The 0.6.6 version of JASP for Mac is available as a free download on our software library. The actual developer of this free software for Mac is JASP. The size of the latest downloadable setup file is 107.9 MB. This Mac download was checked by our built-in antivirus and was rated as virus free.

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  1. Jasp Logiciel Mac Os
  2. Jasp Logiciel Mac Gratuit
Stable release
RepositoryJASP Github page
Written inC++, R, JavaScript
Operating systemMicrosoft Windows, Mac OS X and Linux
LicenseGNU Affero General Public License

JASP is a free and open-source program for statistical analysis supported by the University of Amsterdam. It is designed to be easy to use, and familiar to users of SPSS. It offers standard analysis procedures in both their classical and Bayesian form.[1][2] JASP generally produces APA style results tables and plots to ease publication. It promotes open science by integration with the Open Science Framework and reproducibility by integrating the analysis settings into the results. The development of JASP is financially supported by several universities and research funds.

JASP screenshot


JASP offers frequentist inference and Bayesian inference on the same statistical models. Frequentist inference uses p-values and confidence intervals to control error rates in the limit of infinite perfect replications. Bayesian inference uses credible intervals and Bayes factors[3][4] to estimate credible parameter values and model evidence given the available data and prior knowledge.

The following analyses are available in JASP:

A/B test
ANOVA, ANCOVA, Repeated measures ANOVA and MANOVA
AUDIT (module)
Bain (module)
Binomial test
Confirmatory factor analysis (CFA)
Contingency tables (including Chi-squared test)
Correlation:[5]Pearson, Spearman, and Kendall
Equivalence T-Tests: Independent, Paired, One-Sample
Exploratory factor analysis (EFA)
Linear regression
Logistic regression
Log-linear regression
Machine Learning
Mann-Whitney U and Wilcoxon
Mediation Analysis
Meta Analysis
Mixed Models
Multinomial test
Network Analysis
Principal component analysis (PCA)
Reliability analyses: α, γδ, and ω
Structural equation modeling (SEM)
Summary Stats[6]
T-tests: independent, paired, one-sample
Visual Modeling: Linear, Mixed, Generalized Linear

Other features[edit]

  • Descriptive statistics and plots.
  • Assumption checks for all analyses, including Levene's test, the Shapiro–Wilk test, and Q–Q plot.
  • Imports SPSS files and comma-separated files.
  • Open Science Framework integration.
  • Data filtering: Use either R code or a drag-and-drop GUI to select cases of interest.
  • Create columns: Use either R code or a drag-and-drop GUI to create new variables from existing ones.
  • Copy tables in LaTeX format.
  • PDF export of results.


  1. Summary statistics: Bayesian inference from frequentist summary statistics for t-test, regression, and binomial tests.
  2. BAIN: Bayesian informative hypotheses evaluation[7] for t-test, ANOVA, ANCOVA and linear regression.
  3. Network: Network Analysis allows the user to analyze the network structure of variables.
  4. Meta Analysis: Includes techniques for fixed and random effects analysis, fixed and mixed effects meta-regression, forest and funnel plots, tests for funnel plot asymmetry, trim-and-fill and fail-safe N analysis.
  5. Machine Learning: Machine Learning module contains 13 analyses for supervised an unsupervised learning:
    • Regression
      1. Boosting Regression
      2. Random Forest Regression
      3. Regularized Linear Regression
    • Classification
      1. K-Nearest Neighbors Classification
      2. Linear Discriminant Classification
    • Clustering
  6. SEM: Structural equation modeling.[8]
  7. JAGS module
  8. Discover distributions
  9. Equivalence testing


  1. ^Wagenmakers EJ, Love J, Marsman M, Jamil T, Ly A, Verhagen J, et al. (February 2018). 'Bayesian inference for psychology. Part II: Example applications with JASP'. Psychonomic Bulletin & Review. 25 (1): 58–76. doi:10.3758/s13423-017-1323-7. PMC5862926. PMID28685272.
  2. ^Love J, Selker R, Verhagen J, Marsman M, Gronau QF, Jamil T, Smira M, Epskamp S, Wil A, Ly A, Matzke D, Wagenmakers EJ, Morey MD, Rouder JN (2015). 'Software to Sharpen Your Stats'. APS Observer. 28 (3).
  3. ^Quintana DS, Williams DR (June 2018). 'Bayesian alternatives for common null-hypothesis significance tests in psychiatry: a non-technical guide using JASP'. BMC Psychiatry. 18 (1): 178. doi:10.1186/s12888-018-1761-4. PMC5991426. PMID29879931.
  4. ^Brydges CR, Gaeta L (December 2019). 'An Introduction to Calculating Bayes Factors in JASP for Speech, Language, and Hearing Research'. Journal of Speech, Language, and Hearing Research. 62 (12): 4523–4533. doi:10.1044/2019_JSLHR-H-19-0183. PMID31830850.
  5. ^Nuzzo RL (December 2017). 'An Introduction to Bayesian Data Analysis for Correlations'. PM&R. 9 (12): 1278–1282. doi:10.1016/j.pmrj.2017.11.003. PMID29274678.
  6. ^Ly A, Raj A, Etz A, Marsman M, Gronau QF, Wagenmakers E (2017-05-30). 'Bayesian Reanalyses from Summary Statistics: A Guide for Academic Consumers'. Open Science Framework.
  7. ^Gu, Xin; Mulder, Joris; Hoijtink, Herbert (2018). 'Approximated adjusted fractional Bayes factors: A general method for testing informative hypotheses'. British Journal of Mathematical and Statistical Psychology. 71 (2): 229–261. doi:10.1111/bmsp.12110. ISSN2044-8317. PMID28857129.
  8. ^Kline, Rex B. (2015-11-03). Principles and Practice of Structural Equation Modeling, Fourth Edition. Guilford Publications. ISBN9781462523351.

External links[edit]

  • jasp-desktop on GitHub
Retrieved from 'https://en.wikipedia.org/w/index.php?title=JASP&oldid=998715328'

Welcome to the JASP Tutorial section. Below you can find all the analyses and functions available in JASP, accompanied by explanatory media like blog posts, videos and animated GIF-files.

Click on the JASP-logo to go to a blog post, on the play-button to go to the video on Youtube, or the GIF-button to go to the animated GIF-file. We’re working hard to complete this list of tutorials. To request a tutorial for a specific analysis procedure, please send an email to [email protected] and we will prioritize accordingly.

NB. For feature requests, for help installing JASP, or for bug reports: please post your issue on our GitHub page so the JASP team can assist you efficiently (for details see this blog post).

Frequentist Analyses

Blog PostVideoGIF
Binomial Test
Confirmatory Factor Analysis
Contingency Tables
Descriptive Statistics
Exploratory Factor Analysis
Generalized Linear Mixed Models
Hierarchical Regression
Independent Samples T-Test
Linear Mixed Models
Linear Regression
Logistic Regression
Log-Linear Regression
Mediation Analysis
Multinomial Test and Chi-Square Test
Nonparametric tests
One Sample T-Test
Paired Samples T-Test
Principal Component Analysis
Repeated Measures ANOVA
Selection Models
Structural Equation Modeling

Jasp Logiciel Mac Os

Bayesian Analyses

Blog PostVideoGIF
A/B Test
Binomial Test
Contingency Tables
Generalized Linear Mixed Models
Independent Samples T-Test
Linear Mixed Models
Linear Regression
Log-Linear Regression
Multinomial Test
One Sample T-Test
Paired Samples T-Test
Repeated Measures ANOVA
Robust Bayesian Meta-Analysis


Blog PostVideoGIF
Equivalence T-Tests (Beta)
Learn Bayes
Machine Learning
R (Beta)
Structural Equation Modeling (SEM)
Summary Stats
Visual Modeling (Beta)


Jasp Logiciel Mac Gratuit

Blog PostVideoGIF
Compute Columns
Data & Label Editing
Exact P-Values
OSF support
Test Interval-Null Hypotheses

Tips & Tricks

Below you can find a list of small features as well as tips and tricks in JASP, explained with a simple animated GIF or video. Click on the icon to get to the file.

How to…
Add a new module
Add confidence intervals for effect sizes
Arrange analyses in desired order
Change a variable type
Change the default language
Cite and reference in APA Style
Copy tables directly into your word processor
Copy tables in LaTeX format
Export results to HTML
Load a data set from the JASP Data Library
Make your plots have a transparent / white background
Resize the data view
Save plots as images
Save plots as PowerPoint file (.pptx)
Search for variables by typing the variable name
Select dark theme
Tell JASP which values in your dataset are NA values
View a help file
Write annotations in the output
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