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JASP Changelog

What's new in JASP 0.18.3

Jan 12, 2024
  • Bug fixes:
  • Some older JASP files did not open correctly in 0.18.2 (jasp-stats/jasp-issues#2517)
  • Filter errors and improve clarity (jasp-stats/jasp-issues#2515)
  • Incorrect handling of decimal separators in CSVs (jasp-stats/jasp-issues#2518)
  • Audit Sampling workflow getting stuck (jasp-stats/jasp-issues#2503)
  • Problem with Windows Zip version (jasp-stats/jasp-issues#2502)
  • Update flexplot (jasp-stats/jasp-issues#2494)

New in JASP 0.18.2 (Jan 2, 2024)

  • New Features and Improvements:
  • New module:
  • Survival (Beta)
  • Process (Beta)
  • Data Editing:
  • Redesign the Variable setting window
  • Possibility to switch computed columns to not computed and vice-versa
  • Add empty values settings per variable
  • Make JASP readable on small screen
  • Copy/Paste with headers work between JASP and other spreadsheet editor.
  • Undo/Redo shortcut available everywhere on data editing mode
  • Results:
  • Add video support in annotation (#5293)
  • Windows Installation
  • Add MSIX Installation in Windows Store.
  • Audit:
  • implements algorithm auditing (i.e., model fairness, a new section in the module): jasp-stats/jaspAudit#371
  • Factor/CFA
  • Option to fix intercepts to zero in mean structure (jasp-stats/jasp-issues#2223)
  • Add structural invariance and mean structure identification options (jasp-stats/jasp-issues#2378, jasp-stats/jaspFactor#193)
  • Machine Learning:
  • Add Naive Bayes classification analysis (jasp-stats/jaspMachineLearning#244):
  • Implements some explainable modelling ('XAI') features from the DALEX package
  • After model performance, implemented an option in all supervised analyses to show feature importance metrics (via https://ema.drwhy.ai/featureImportance.html).
  • After feature importance, implemented an option in all supervised analyses (and the prediction analysis) to explain the predictions of the model as a sum of feature contributions (via https://ema.drwhy.ai/breakDown.html#breakDown).
  • Added multivariate normality check in the LDA analysis (https://github.com/jasp-statsjasp-issues#2272)
  • Adds a bare-bones linear regression analysis as a baseline method in which the user can use a training and test set to compare the results with other techniques.
  • Linear Regression: Add an option to display the regression equation for (regularised) linear regression (jasp-stats/jaspMachineLearning#227)
  • Optimization for support vector machines and decision trees (jasp-stats/jaspMachineLearning#84)
  • SEM:
  • Add mean structure option fixing mean intercepts to zero (jasp-stats/jaspSem#186)
  • Bug fixes
  • Multiple labelfilters do not combine correctly (jasp-stats/jasp-issues#2376)
  • Filter still active after reopen new session (jasp-stats/jasp-issues#2344)
  • Export csv file from .jasp file will lose values (jasp-stats/jasp-issues#2396)
  • Latex in darkmode (#5311)
  • Bayesian ANOVA: Fix Single model inference (jasp-stats/INTERNAL-jasp#2426)
  • Learn Bayes: fix bracket at logBF10 (jasp-stats/jaspLearnBayes#171)
  • Machine Learning:
  • Do not scale the target variable in regression anymore.
  • Fix bugs in Neural Network analyses related to activation function use (had wrong input for linear.output argument).
  • Quality Control
  • Graph variation components has not been built (jasp-stats/jasp-issues#2273)
  • Percentage Process Variation Graph hadn't been built (jasp-stats/jasp-issues#2274)
  • Attributes Agreement Analysis analysis crash (jasp-stats/jasp-issues#2286)
  • Added help files (jasp-stats/jaspQualityControl#285)
  • Fixed issue that sometimes broke the RSM analysis (jasp-stats/jaspQualityControl#281). The rsm package calculated some "canonicals" that were not used in the JASP output. Setting the threshold to calcuate these to 0 resolved the issue.
  • Removed option to specify blocks again, breaks too often.
  • Removed options to specify manual terms for RSM analysis, breaks often and is not really useful without possibility of adding squared terms.
  • Regression analyses:
  • Bug in German translation (jasp-stats/jaspRegression#268, jasp-stats/jasp-issues#2405)
  • Wrong values of Nagelkerke and Cox and Snell R^2 reported (jasp-stats/jasp-issues#2368)
  • Reliability
  • CI for Krippendorff's alpha (jasp-stats/jasp-issues#2318)
  • SEM
  • Chi-square change with addtion of second model (jasp-stats/jasp-issues#2302)

New in JASP 0.18.1 (Sep 29, 2023)

  • New Features and Improvements:
  • New module: Learn Stats
  • Bug fixes:
  • Data Editing:
  • Beter undo/redo shortcut handling (#5262)
  • Add copy/cut/paste with header (#5249)
  • Make remove columns/rows quicker(#5242)
  • Descriptives:
  • Incorrect confidence interval in descriptive statistics (#2288)
  • Likert plot long data (#2251)
  • Use ColorPalette (#216)
  • LearnBayes: Use ColorPalette (#167)
  • SEM:
  • Use ColorPalette (#177)
  • Fix disattenuation bug and handle resampling options better (#2260)
  • Merged notes additional fit measures (#147)
  • Meta Analysis, hot fixes for RoBMA (#196 & #197):
  • fix output ordering
  • fix diagnostics plots
  • fix effect size output option
  • fix 'plotsIndividualModelsOrder'
  • plot prior distributions under custom models
  • incorrectly disabled prior scale menu on custom
  • Predictive Analytics: #11

New in JASP 0.18.0 (Sep 6, 2023)

  • Main new feature:
  • Data Editing
  • New Features and Improvements:
  • New module: Robust T-Tests
  • Show color palettes (#2122)
  • Make LaTeX formula editable (#5186)
  • Bug fixes:
  • ANOVA: Refreshing old jasp file engine crash (#2347)
  • T-Test: cannot render Bayesian sequential analysis with robustness check (#2252)
  • CFA error with grouping variable (#2182)
  • Improve Quality Control (#263)
  • Fix variance components plot failing for i18n (#270)
  • Add more translatable strings: (#5144)
  • Application stops responding when filtering data (#1644)
  • JASP files can be send via E-Mails, there are not blocked by E-Mail servers.

New in JASP 0.17.3 (Jul 18, 2023)

  • Quality Control module upgrades broken from 0.16.4 > 0.17+ (jasp-stats/jasp-issues#2142)
  • Repeated Measures Anova failing due to missing package (jasp-stats/jasp-issues#2152, jasp-stats/jasp-issues#2148, jasp-stats/jasp-issues#2145)
  • Reliability module failing due to missing package (jasp-stats/jasp-issues#2146)
  • Update to readstat 1.1.9 to fix local character encoding issues in input data
  • Filtering + Custom Contrasts (ANOVA) results in error

New in JASP 0.17.2.1 (May 30, 2023)

  • A hotfix for:
  • Quality Control module upgrades broken from 0.16.4 > 0.17+
  • Repeated Measures Anova failing due to missing package
  • Reliability module failing due to missing package
  • Update to readstat 1.1.9 to fix local character encoding issues in input data
  • Filtering + Custom Contrasts (ANOVA) results in error

New in JASP 0.17.1 (Feb 13, 2023)

  • Bug fixes:
  • Repeated Measures ANOVA does not run if the model terms are not explicitly set (#1987)
  • JASP crashes sometimes when starting it with an internet proxy (#1986)
  • Wrong name in T-Tests "Wilcoxon signed-rank" option should be labelled “Mann-Whitney” (#1990)
  • Linear Regression: Casewise Diagnostics table shows wrong case ID when having missing data in dependent variable (#1989)
  • No error bars displayed when running a 2-way ANOVA (#1983)

New in JASP 0.17.0 (Jan 26, 2023)

  • New features and improvements:
  • Syntax mode
  • Improved keyboard navigation (#4943)
  • New module: Acceptance Sampling
  • Structural Equation Modeling:
  • New analysis: Partial Least Squares SEM (#354)
  • T-sized adjusted RMSEA and CFI (#1837)
  • Network:
  • New analysis: Bayesian network analysis (#1864)
  • Meta-Analyses:
  • New analysis: Bayesian Penalized Meta-Analysis (Utrecht project)
  • JAGS:
  • Customizable Inference added (#83):
  • Show tables and plots for specific variables or subsets of variables.
  • Order the shown variable in the tables and plots by their posterior mean, posterior median, or a custom order.
  • Compute and plot custom intervals for posterior distributions (CRI, HDI, or the probability of the area between two user-specified values).
  • Save posterior samples generated to external file (#76)
  • Improved for large data files (#1920)
  • Regression:
  • Added multinomial, ordinal and firth logistic regression (#179)
  • Improved performance for logistic regression (#1814)
  • Descriptives:
  • Added confidence intervals for mean, standard deviation, and variance (#123)
  • Distributions:
  • Confidence intervals added to Q-Q and P-P plots (#82)
  • Prophet:
  • Prediction is optional (#60)
  • Engines and R-library separation behavior improved (#4726)
  • Improved preference help file (#4881)
  • Module selection in R commander (#1912)
  • All plots can now be saved as .pptx, .pdf, and .eps (#113, #1910)
  • Added documentation on how to connect to Snowflake warehouse (#1888)
  • Bug fixes:
  • Show strength in centrality table and plot in the network analysis module (#1692)
  • Variance-covariance matrix could not always be calculated in SEM (#1845)
  • Errors when using flexplot in visual modeling module (#1327, #1849)
  • Temporarily disable no-bom-native-codepage workaround for CSVs on windows. Use utf-8 whenever you can to avoid this problem.

New in JASP 0.16.4 (Sep 29, 2022)

  • New features and improvements:
  • SQL Database can be connected to JASP (#4798)
  • ANOVA:
  • SE and coefficient of variation added to the descriptives tables (#150)
  • Friedman test checks “unreplicated block design” requirement (#177)
  • Improved help file (#1772)
  • Laplace approximation added to BANOVA (#194)
  • T-Tests:
  • Brown-Forsythe test added (as default) to equality of variance tests in independent t-tests (#124)
  • SEs for effect sizes added to all frequentist t-tests (#129)
  • Factor (#75, #93):
  • Ordinal variables allowed (#1624)
  • Option for poly/tetrachoric correlations (#903)
  • Mardia's tests of multivariate normality
  • Detailed output of the parallel analysis results
  • Help file improved
  • Frequencies:
  • Contingency tables
  • Unstandardized, Pearson and Standardized residuals added (#88, #1442)
  • Cochrane Meta-Analyses (#12):
  • Export selected datasets
  • Improved error message for dataset with one estimate
  • Improved Add Estimates
  • Machine Learning:
  • New dataset: Palmerpenguins (#128)
  • Mixed Models:
  • New dataset: Larks & Owls (#4806)
  • Ability to remove random intercept (#97)
  • Ability to show individual random effect estimates (#97)
  • Network:
  • Improved Graphical Options (#51)
  • Regression:
  • Offset included to GLM (#161)
  • Improved help file for VIF (#1800)
  • Reliability:
  • New analysis: Bland-Altman Plots (#111, #494)
  • SEM (#90):
  • Improved error message for unavailable missing data handlers of categorical data
  • Fixed release constraints for multigroup SEM (#1687)
  • Path coefficients table added (#95)
  • Summary Statistics:
  • New analysis: Bayesian z-test (#77)
  • New transformations added to Compute Column (#4799):
  • Power transformations (Box-Cox, inverse Box-Cox, two parameter power transformation, Yeo-Johnson)
  • Logit and inverse logit transformations
  • JASP now uses R 4.2.1 (#4801) (Improves unicode handling on windows)
  • Maximum amount of engines used by JASP can be forced by admin (#1693, #4838)
  • Exponent notation available for Table Options (#4824)
  • Userdefined label for missing values in data (#4833)
  • Bug fixes:
  • PCA results based on covariance instead of correlation did not change output (#1667)
  • Custom contrasts in ANOVA did not update after filtering data (#627, #4741)
  • Special character in username results crashes plots (#1758)
  • Raincloud plot title fix (#181)
  • Posterior model probabilities should update when the model prior changes (#195, #1816)
  • Fix to Column Filter (#4736, #1661)
  • (Partial) fix to results displaying ugly on windows (#1747)
  • Solves a crash on macOS in linear regression for extremely small numbers (#1777)
  • Fix Prophet to allow it to find timezone and date-format information (#1714)

New in JASP 0.16.3 (Jun 16, 2022)

  • New features and improvements:
  • New Module: Quality Control.
  • New Module: Bayesian State Space Models.
  • New analysis added: Frequentist/ Classical Generalized Linear Model to the Regression module (#1656).
  • ANOVA:
  • The Bayesian repeated-measures ANOVA now includes random slopes for all but the highest order repeated-measures interaction. This brings the results from the frequentist and Bayesian repeated-measures ANOVA closer together. The old behavior can be retrieved by checking Legacy results.
  • Bayesian ANOVA, Bayesian ANCOVA, and Bayesian repeated-measures ANOVA (#151)
  • The value for the r-scale of the prior distribution on the coefficients can now be set individually for fixed effects.
  • The principle of marginality can be violated individually for fixed effects and random slopes. By default it is respected for fixed effects and violated for random slopes.
  • The prior on the model space can now be adjusted. Possible options are Uniform (default), Beta binomial, Wilson, Castillo, Bernoulli, and Custom. Custom allows for specifying individual inclusion probabilities for each effect. Note that the inclusion probabilities for interactions change if the principle of marginality is violated.
  • Nuisance predictors and other predictors common to all models can be shown in the model by unchecking “Hide nuisance in model”.
  • Warning message about changes (#158).
  • Message added when Welch correction fails (#131).
  • Improvements to Order restricted hypotheses (#153)
  • Regression:
  • Bayesian linear regression now exports residuals and residual standard deviations (#110, #1596).
  • Add bootstrapped p-value to linear regression (#120).
  • Improved part and partial correlations (#1638).
  • T-Tests:
  • Coefficient of variation added to the descriptives tables of all T-Tests (#122, #1599).
  • Bain:
  • Draw correct posterior probability plot in all AN(C)OVA / regression / SEM situations (#80)
  • Descriptives:
  • Improved interface (#1635)
  • Frequencies:
  • Bayesian Binomial Test (#83, #1605)
  • Improved help files.
  • Improved lay-out.
  • Footnote added to display what kind of beta prior is used on the alternative hypothesis.
  • Multinomial Test (#87)
  • Increased number of decimals in the input table (from 1 to 3).
  • Expected counts can be decimals (#1652).
  • Machine Learning:
  • Matthews correlation coefficient added to evaluation metrics for classification (#134, #750).
  • Decision Trees able to only show relevant splits (#152).
  • Improvement to decision boundary matrix (#152).
  • Audit:
  • UI improvements
  • Reliability:
  • Krippendorff's alpha added to Rater Agreement (#1665).
  • Improvements to fit measure table for Bayesiansingle factor model (#94).
  • Bug fixes:
  • Raincloud plot lines that connect data points within-subject (#155).
  • In RM ANOVA contrast couldn’t be negative (#1704).
  • ANOVA affected coding options in Regression (#1677).
  • Error in JAGS (#1691).
  • Help button not clickable in Bayesian Unidimensional Reliability (#1621).
  • Flatpak no longer crashes on certain actions (#1424).

New in JASP 0.16.2 (Apr 19, 2022)

  • New Features and Improvements:
  • JASP now runs natively on Apple Silicon!
  • JASP uses the latest version of R 4.1.3
  • Bug Fixes:
  • Unexpected slowness on Windows
  • Factors of CFA disappeared
  • JASP crashed when adding a rm factor in RM ANOVA

New in JASP 0.16.0 (Feb 16, 2022)

  • New Features and Improvements:
  • New languages added: Spanish, Indonesian (incomplete)
  • Meta-Analysis:
  • WAAP-WLS
  • PET-PEESE
  • Prediction Model Performance
  • Set seed option in Bayesian Meta-Analysis
  • Machine Learning:
  • New Neural Network regression and classification analyses
  • Model saving for all regression and classification analyses
  • Models can be saved locally as .jaspML files
  • Prediction for all regression and classification models
  • Locally saved .jaspML files can be loaded and applied to new data in the new prediction analysis
  • New module: Circular
  • Perform Circular Statistics
  • Summary Statistics:
  • General Bayesian Tests
  • ANOVA:
  • GORIC(A) in AN(C)OVA and RM ANOVA
  • Regression:
  • Row/column/total proportions parallel to counts for confusion matrix in Logistic Regression
  • Marginal effects plots in Linear Regression
  • Audit:
  • UI revamp
  • Prior and posterior predictive plots
  • Ability to use base 10 for scientific notation in tables
  • Bug fixes:
  • Fix scaling funnel plot (#1223)
  • Corrected Kendall’s W statistic (#1473)
  • Do not show the zip warning on Windows when opening a .jasp file (#1431)

New in JASP 0.15.0 (Sep 21, 2021)

  • Improvements:
  • Several changes to the audit module
  • Evaluate audit samples more efficiently #4411
  • More prior construction methods #700
  • UVB functionality #1149
  • More computing speed for RoBMA #4408
  • Previously the effect size estimates and confidence intervals in the one-sample t-test were defined in terms of differences with respect to the test point. Both the effect size estimates and confidence intervals are now defined independently of the test point #4407
  • Updates to Data Library (new Datasaurus and World Happiness examples) #4393
  • Bug fixes:
  • Fix to multigroup SEM #4394
  • Fix to t-test #4390
  • Fixing marginal custom CI in predictive distributions #4397

New in JASP 0.13.0 (Jul 2, 2020)

  • New Features and improvements:
  • Engine improvements
  • The new analyses depend on many R package and we’re grateful to the package developers, the newly added/updated packages can be found belowAll R packages used in JASP can be found here
  • New modules and analyses:
  • Mixed Models (both Bayesian and classical)
  • Linear mixed models
  • Generalized linear mixed models
  • Reliability module (both Bayesian and classical)
  • Single-Test Reliability Analysis
  • R-console (beta)
  • Bayesian A/B test for the Summary Stats module
  • New analyses for the Audit module
  • Selection
  • Evaluation
  • Bayesian Evaluation
  • Analyses improvements
  • ANOVA
  • Contrasts for interaction effects, including custom contrasts (jasp-issue #782)
  • SEM module
  • Allow ordinal variables in CFA
  • Network analysis module
  • Added expected influence ‘centrality’ (jasp-issue #411)
  • Saving plots as powerpoint files
  • Bug fixes:
  • Bayesian multinomial errors (jasp-issue #629)
  • JASP “quits unexpectedly” after opening a file and then quitting by closing the menu (jasp-issue #667)
  • Audit selection analysis (jasp-issue #699)
  • Network analysis – Changing Legend does not change the Centrality Plot (jasp-issue #702)
  • P value shown as 0.00 instead of <.001 (jasp-issue #706)
  • Variable type not updated in Post Hoc Tests (jasp-issue #708)
  • Very slow estimation of correlation matrix (jasp-issues #679 #712)
  • Pixelated user interface with JASP 0.12.2.0 (jasp-issue #720)
  • Error in an independent sample T-test (jasp-issue #724)
  • Issue with Informed Prior for Bayesian Independent Samples T-Test (jasp-issue #730)
  • JASP has difficulty handling extended missing value codes in Stata (jasp-issue #733)
  • Bayesian multinomial gui compressed (jasp-issue #738)
  • Network analysis: SPELLING MISTAKE (jasp-issue #751)
  • Paired T-tests – Changing the hypothesis provides a more informative footnote (jasp-issue #758)
  • Mixed Modeling (Visual Modeling [BETA]) (jasp-issue #763)
  • Tjur R2 wrongly calculated (jasp-issue #764)
  • Bug on Bayesian Repeated Measures ANOVA (jasp-issues #737 #774)
  • App does not display correctly (jasp-issue #775)
  • JASP crashes on exit (jasp-issue #777)
  • Broken output, missing font TeXGyreHeros in flatpak (jasp-issue #780)
  • Incorrect Values in 2x2x2 ANCOVA Table (jasp-issue #797)
  • Making including/excluding the intercept in an analysis less easy (jasp-issue #819)
  • Failed Correlation Analysis (jasp-issue #829)
  • New R-packages:
  • BH (1.72.0-3)
  • Bayesrel (0.6.5.1)
  • DPQ (0.3-5)
  • DT (0.13)
  • RcppEigen (0.3.3.7.0)
  • RcppParallel (5.0.1)
  • Rdpack (0.11-1)
  • askpass (1.1)
  • bayesplot (1.7.2)
  • beeswarm (0.2.3)
  • bibtex (0.4.2.2)
  • crosstalk (1.1.0.1)
  • dygraphs (1.1.1.6)
  • extraDistr (1.8.11)
  • farver (2.0.3)
  • gbRd (0.4-11)
  • ggbeeswarm (0.6.0)
  • ggpol (0.0.6)
  • ggridges (0.5.2)
  • hexbin (1.28.1)
  • isoband (0.2.1)
  • officer (0.3.11)
  • openssl (1.4.1)
  • packrat (0.5.0)
  • progress (1.2.2)
  • rsconnect (0.8.16)
  • rstanarm (2.19.2)
  • runjags (2.0.4-6)
  • rvg (0.2.4)
  • sfsmisc (1.1-7)
  • shinystan (2.5.0)
  • shinythemes (1.1.2)
  • stanova (0.1-0)
  • statmod (1.4.34)
  • sys (3.3)
  • threejs (0.3.3)
  • uuid (0.1-4)
  • vipor (0.4.5)
  • xml2 (1.3.2)

New in JASP 0.10.0.0 (Jun 11, 2019)

  • Interface adjustments
  • Data panel, analysis input panel and results panel can be manipulated much more intuitively with sliders and show/hide buttons
  • Changed the analysis input panel to have an overview of all opened analyses and added the possibility to change titles, to show documentation, and remove analyses
  • Enhanced the navigation through the file menu; it is now possible to use arrow keys or simply hover over the buttons
  • Added possibility to scale the entire application with Ctrl +, Ctrl – and Ctrl 0
  • Added MANOVA
  • Added Confirmatory Factor Analysis
  • Added Bayesian Multinomial Test
  • Included additional menu preferences to customize JASP to your needs
  • Added/updated help files for most analyses
  • R engine updated from 3.4.4 to 3.5.2
  • Added Šidák correction for post-hoc tests (AN(C)OVA)
  • Added bootstrapping for post-hoc tests (AN(C)OVA)
  • Added bootstrapping for marginal means (AN(C)OVA)
  • Ability to plot a covariate on the horizontal axis (ANCOVA)
  • Added post-hoc tests for interactions (RM ANOVA)
  • Added marginal means (RM ANOVA)
  • Added bootstrapping for marginal means (RM ANOVA)
  • Added confidence intervals for post-hoc tests (RM ANOVA)
  • More complete Sphericity tests (Chi-squared and df; RM ANOVA)
  • Added generalized eta squared effect size (RM ANOVA)
  • Added Cox & Snell R-squared (Logistic regression)
  • Added Wald test for coefficients (Logistic regression)
  • Added casewise diagnostics (Logistic regression)
  • Added bootstrapping for coefficients (Logistic regression)
  • Added R-squared for observed variables (SEM)
  • Added Shapiro-Wilks test (Descriptives)
  • Added median absolute deviation (Descriptives)
  • Added interquartile range (Descriptives)
  • Enhanced stability of Bayesian Mann-Whitney U test (Bayesian t-test)
  • Included table and plot for single model and model averaged posterior distributions (Bayesian ANOVA’s)
  • Added single model and model averaged QQ plots (Bayesian ANOVA’s)
  • Added single model and model averaged R-squared (Bayesian ANOVA’s)

New in JASP 0.9.1.0 (Oct 12, 2018)

  • New features and improvements:
  • Filtering: use either R code or a drag-and-drop GUI to select cases of interest (an in-depth explanation on filtering in JASP will be posted soon)
  • The JASP data library: an initial collection of over 50 data sets, including the examples from two popular stats textbooks
  • Exporting tables from JASP in LaTeX format
  • Non-parametric tests:
  • Friedman and Durbin tests / nonparametric (classical RM ANOVA)
  • Kruskal-Wallis / nonparametric (classical ANOVA)
  • Connover’s nonparametric post hoc test (classical RM ANOVA)
  • Dunn’s nonparametric post hoc test (classical ANOVA)
  • Mann-Whitney / Wilcoxon rank sum test (Bayesian independent samples T-Test)
  • Resizing tables and plots with ctrl+/ctrl-/ctrl=
  • R engine updated from 3.3.3 to 3.4.4
  • EM module upgraded
  • Improved Bayesian linear regression
  • Improved contrasts for RM ANOVA
  • Hand pointer to scroll through the data viewer
  • Open file via welcome screen
  • Improvement of placement tags of outliers
  • Graphs in network analysis displays in colourblind mode by default
  • Bugfixes:
  • Fix issue: #2381 One Sample T-Test: Possible error in the estimation of the 95% CI for Mean Difference
  • Fix issue: #2074 Linear regression bugs
  • Fix issue: #2438 Bayesian descriptive plot for RM ANOVA does not work
  • Fix issue: #2346 SumStats module Bayesian Regression does not have addInfo for robustness check
  • Fix issue: #2400, #2425 Bayesian linear regression error when adding interaction
  • Fix issue: #2467 Add standardized alpha for reliability analysis
  • Fix issue: #2074 Linear regression bugs
  • Fix issue: #2497 Fix Meta-analysis
  • Fix issue: #2541, #1929 Bayesian correlation “terminates unexpectedly”

New in JASP 0.8.6.0 (Mar 1, 2018)

  • A revamped Bayesian linear regression thanks to the BAS package
  • Multinomial analysis
  • Install JASP on most Linux distributions more easily due to Flatpack support
  • Plots now update directly when resizing them.
  • A tooltip for variables so that long names can be still read.
  • etc. see Release notes on download page https://jasp-stats.org/download/
  • Bugfixes:
  • Unable to plot network graph when non-ascii character in filename #2252
  • Repeated-measures ANOVA error with high(ish) number of cells (complex numbers or unequal size arrays) #2241
  • Re-enable SEM on Linux #2267
  • etc. see Release notes on download page https://jasp-stats.org/download/

New in JASP 0.8.5.0 (Mar 1, 2018)

  • Improvements:
  • Network module: new clustering table/plot
  • ANOVA : simple effects
  • ANOVA : fix for repeated contrast
  • Logistic regression: changes to stepwise regression.
  • Logistic regression : AIC fior variable selection & removal p-values
  • Bugfixes:
  • Independent sample Bayesian t-test #2196
  • Wrong valid percent in frequency table #2202
  • Improve ODS Importer #2167