Jasp Logiciel Mac
2021年1月20日Download here: http://gg.gg/nxdve
JASPStable releaseRepositoryJASP Github pageWritten inC++, R, JavaScriptOperating systemMicrosoft Windows, Mac OS X and LinuxTypeStatisticsLicenseGNU Affero General Public LicenseWebsitejasp-stats.org
Mac MCR 2019b (9.7) posted by Alfonso Nieto-Castanon on Feb 11, 2020 conn: files for standalone installation on Mac/macOS (without Matlab) release conn19bmaci64.zip posted by Alfonso Nieto-Castanon on Feb 11, 2020.
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. Buchanan Missouri State University Fall 2018 This video covers our JASP guides on how to install JASP - especially if you are a Mac use. Download JASP Entirely for free, no strings attached. Windows Windows 64bit Windows 32bit The pre-installed 64-bit or 32-bit version can be used if the msi fails. Please note that JASP0.14 is not available for Windows 7. MacOS Catalina Mojave Continue reading →. 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. JASP User Guide. Guide to Building JASP. The JASP Guide for Implementing Analyses in R. Guide to Adding Analyses. Guide to creating a.
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 screenshotAnalyses[edit]
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:AnalysisFrequentistBayesianA/B testANOVA, ANCOVA, Repeated measures ANOVA and MANOVAAUDIT (module)Bain (module)Binomial testConfirmatory factor analysis (CFA)Contingency tables (including Chi-squared test)Correlation:[5]Pearson, Spearman, and KendallEquivalence T-Tests: Independent, Paired, One-SampleExploratory factor analysis (EFA)Linear regressionLogistic regressionLog-linear regressionMachine LearningMann-Whitney U and WilcoxonMediation AnalysisMeta AnalysisMixed ModelsMultinomial testNetwork AnalysisPrincipal component analysis (PCA)Reliability analyses: α, γδ, and ωStructural equation modeling (SEM)Summary Stats[6]T-tests: independent, paired, one-sampleVisual Modeling: Linear, Mixed, Generalized LinearOther 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.Modules[edit]
*Summary statistics: Bayesian inference from frequentist summary statistics for t-test, regression, and binomial tests.
*BAIN: Bayesian informative hypotheses evaluation[7] for t-test, ANOVA, ANCOVA and linear regression.
*Network: Network Analysis allows the user to analyze the network structure of variables.
*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.
*Machine Learning: Machine Learning module contains 13 analyses for supervised an unsupervised learning:
*Regression
*Boosting Regression
*Random Forest Regression
*Regularized Linear Regression
*Classification
*K-Nearest Neighbors Classification
*Linear Discriminant Classification
*Clustering
*SEM: Structural equation modeling.[8]
*JAGS module
*Discover distributions
*Equivalence testingReferences[edit]
*^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.
*^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).
*^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.
*^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.
*^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.
*^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.
*^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.
*^Kline, Rex B. (2015-11-03). Principles and Practice of Structural Equation Modeling, Fourth Edition. Guilford Publications. ISBN9781462523351.Jasp Logiciel Mac OsExternal links[edit]Jasp Logiciel Mac Gratuit
*jasp-desktop on GitHubRetrieved from ’https://en.wikipedia.org/w/index.php?title=JASP&oldid=998715328’
Download here: http://gg.gg/nxdve
https://diarynote-jp.indered.space
JASPStable releaseRepositoryJASP Github pageWritten inC++, R, JavaScriptOperating systemMicrosoft Windows, Mac OS X and LinuxTypeStatisticsLicenseGNU Affero General Public LicenseWebsitejasp-stats.org
Mac MCR 2019b (9.7) posted by Alfonso Nieto-Castanon on Feb 11, 2020 conn: files for standalone installation on Mac/macOS (without Matlab) release conn19bmaci64.zip posted by Alfonso Nieto-Castanon on Feb 11, 2020.
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. Buchanan Missouri State University Fall 2018 This video covers our JASP guides on how to install JASP - especially if you are a Mac use. Download JASP Entirely for free, no strings attached. Windows Windows 64bit Windows 32bit The pre-installed 64-bit or 32-bit version can be used if the msi fails. Please note that JASP0.14 is not available for Windows 7. MacOS Catalina Mojave Continue reading →. 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. JASP User Guide. Guide to Building JASP. The JASP Guide for Implementing Analyses in R. Guide to Adding Analyses. Guide to creating a.
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 screenshotAnalyses[edit]
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:AnalysisFrequentistBayesianA/B testANOVA, ANCOVA, Repeated measures ANOVA and MANOVAAUDIT (module)Bain (module)Binomial testConfirmatory factor analysis (CFA)Contingency tables (including Chi-squared test)Correlation:[5]Pearson, Spearman, and KendallEquivalence T-Tests: Independent, Paired, One-SampleExploratory factor analysis (EFA)Linear regressionLogistic regressionLog-linear regressionMachine LearningMann-Whitney U and WilcoxonMediation AnalysisMeta AnalysisMixed ModelsMultinomial testNetwork AnalysisPrincipal component analysis (PCA)Reliability analyses: α, γδ, and ωStructural equation modeling (SEM)Summary Stats[6]T-tests: independent, paired, one-sampleVisual Modeling: Linear, Mixed, Generalized LinearOther 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.Modules[edit]
*Summary statistics: Bayesian inference from frequentist summary statistics for t-test, regression, and binomial tests.
*BAIN: Bayesian informative hypotheses evaluation[7] for t-test, ANOVA, ANCOVA and linear regression.
*Network: Network Analysis allows the user to analyze the network structure of variables.
*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.
*Machine Learning: Machine Learning module contains 13 analyses for supervised an unsupervised learning:
*Regression
*Boosting Regression
*Random Forest Regression
*Regularized Linear Regression
*Classification
*K-Nearest Neighbors Classification
*Linear Discriminant Classification
*Clustering
*SEM: Structural equation modeling.[8]
*JAGS module
*Discover distributions
*Equivalence testingReferences[edit]
*^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.
*^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).
*^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.
*^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.
*^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.
*^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.
*^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.
*^Kline, Rex B. (2015-11-03). Principles and Practice of Structural Equation Modeling, Fourth Edition. Guilford Publications. ISBN9781462523351.Jasp Logiciel Mac OsExternal links[edit]Jasp Logiciel Mac Gratuit
*jasp-desktop on GitHubRetrieved from ’https://en.wikipedia.org/w/index.php?title=JASP&oldid=998715328’
Download here: http://gg.gg/nxdve
https://diarynote-jp.indered.space
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