jds: '1.4' modules: - name: scatr title: scatr version: 1.2.0 authors: - Ravi Selker description: Allows you to produce several types of explorative plots such as scatter plots and pareto charts. You can find it under the 'Exploration' menu. architectures: - name: win64 path: scatr-1.2.0.jmo requires: jamovi: '>= 1.0.8.0' - name: Rj title: Rj - Editor to run R code inside jamovi version: 2.1.0 authors: - Jonathon Love - Maurizio Agosti description: Provides an editor allowing you to enter R code, and analyse your data using R inside jamovi. architectures: - name: win64 path: Rj-2.1.0.jmo requires: jamovi: '>= 2.3.13.0' - name: jpower title: 'jpower: Power Analysis for Common Research Designs' version: 0.1.2 authors: - Richard D. Morey - Ravi Selker description: 'Power analysis for common research designs ' architectures: - name: win64 path: jpower-0.1.2.jmo requires: jamovi: '>= 1.0.8.0' - name: gamlj title: General Analyses for Linear Models in jamovi version: 2.6.6 authors: - Marcello Gallucci description: A suite for estimation of linear models, such as the general linear model, linear mixed model, generalized linear models and generalized mixed models. For ech family, models can be estimated with categorical and/or continuous variables, with options to facilitate estimation of interactions, simple slopes, simple effects, post-hoc tests, contrast analysis and visualization of the results. architectures: - name: win64 path: gamlj-2.6.6.jmo requires: jamovi: '>= 1.8.0.0' - name: semlj title: SEM version: 1.1.6 authors: - Marcello Gallucci - Sebastian Jentschke description: Structural Equation Models based on lavaan architectures: - name: win64 path: semlj-1.1.6.jmo requires: jamovi: '>= 2.3.12.0' - name: jamm title: Advanced Mediation Models version: 1.2.1 authors: - Marcello Gallucci description: A suite for the estimation of mediational models, including multiple mediators, and conditional mediation architectures: - name: win64 path: jamm-1.2.1.jmo requires: jamovi: '>= 1.0.8.0' - name: jsq title: jsq - Bayesian Methods version: 1.2.0 authors: - The JASP Team - Damian Dropmann - Ravi Selker - Jonathon Love description: 'A suite of Bayesian statistical methods, including t-tests, ANOVAs, linear models, and contingency tables. These tests are a port of the Bayesian analyses from the JASP statistical software (see jasp-stats.org for more information). ' architectures: - name: win64 path: jsq-1.2.0.jmo requires: jamovi: '>= 1.0.8.0' - name: medmod title: medmod version: 1.1.0 authors: - Ravi Selker description: 'This module allows you to do simple mediation and moderation analysis. ' architectures: - name: win64 path: medmod-1.1.0.jmo requires: jamovi: '>= 1.0.8.0' - name: esci title: Effect Sizes and Confidence Intervals for R and Jamovi version: 0.9.4 authors: - Robert J Calin-Jageman description: "This module is for estimation, providing analyses that focus on effect\ \ sizes, uncertainty, and synthesis. This module is designed for ease of use\ \ and provides high-quality visualizations that emphasize effect sizes and uncertainty.

\ \ \nCurrently, all analyses are frequentist, returning confidence intervals.

\ \ \nThis is an alpha release. Please submit feedback, bug reports, and feature\ \ requests via the links provided here: https://thenewstatistics.com/itns/esci/jesci/.

\ \ 0.9.4 ----
\n * Updating analyses to build graphs from data directly; should\ \ eliminate problems occuring on OSx and some Chromebooks
\n0.9.3 ----
\n\ \ * Additional update to try to fix estimate correlation of OSx. Hopefully fixed\ \ this time.
\n0.9.2 ----
\n * Updated estimate correlation to hopefully\ \ prevent crashes on OSx - Thanks to JLove's suggested code
\n * Split estimate\ \ means into descriptives and estimate means
\n * Fixed a bug for Mdiff where\ \ cohen's d didn't take the conf.level argument
" architectures: - name: win64 path: esci-0.9.4.jmo requires: jamovi: '>= 1.0.8.0' - name: surveymv title: Survey Plots version: 0.5.0 authors: - Ravi Selker description: Generates summary plots for your survey data. architectures: - name: win64 path: surveymv-0.5.0.jmo requires: jamovi: '>= 1.2.16.0' - name: MAJOR title: Meta-Analysis for JAMOVI version: 1.2.4 authors: - W. Kyle Hamilton description: An interface for Jamovi and the R package Metafor architectures: - name: win64 path: MAJOR-1.2.4.jmo requires: jamovi: '>= 1.0.8.0' - name: pathj title: Path Analysis version: 0.9.0 authors: - Marcello Gallucci description: Path Analysis based on lavaan architectures: - name: win64 path: pathj-0.9.0.jmo requires: jamovi: '>= 1.8.0.0' - name: jeva title: Evidential Analyses for Common Statistical Tests version: 0.0.7 authors: - Peter Cahusac description: Analyses that calculate the log likelihood ratio (support) for a range of statistical tests. Where possible the likelihood function and support interval for the observed data are displayed. Intended as a companion to the book Evidence Based Statistics. architectures: - name: win64 path: jeva-0.0.7.jmo requires: jamovi: '>= 1.0.8.0' - name: walrus title: Walrus - Robust Statistical Methods version: 2.0.0 authors: - Jonathon Love - Maurizio Agosti - Patrick Mair description: A toolbox of common robust statistical tests, including robust descriptives, robust t-tests, and robust ANOVA. Walrus is based on the WRS2 package by Patrick Mair, which is in turn based on the scripts and work of Rand Wilcox. These analyses are described in depth in the book Introduction to Robust Estimation & Hypothesis Testing. architectures: - name: win64 path: walrus-2.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: TOSTER title: TOSTER version: 0.4.0 authors: - Daniel Lakens - Aaron Caldwell description: Two one-sided tests (TOST) procedures to test equivalence for t-tests and correlations. More information. architectures: - name: win64 path: TOSTER-0.4.0.jmo requires: jamovi: '>= 1.0.8.0' - name: bmtest title: Brunner-Munzel Test version: 0.1.1 authors: - Julian Karch description: The Brunner-Munzel test provides a more robust version of the popular Wilcoxon-Mann-Whitney test. It is recommended to almost always use the Brunner-Munzel test. The test and module are described in detail in Karch (2023) architectures: - name: win64 path: bmtest-0.1.1.jmo requires: jamovi: '>= 1.0.8.0' - name: deathwatch title: Death Watch version: 1.1.2 authors: - Alberto Alvarez-Iglesias - Jonathon Love description: Survival analysis architectures: - name: win64 path: deathwatch-1.1.2.jmo requires: jamovi: '>= 1.0.8.0' - name: jsurvival title: Survival Module of ClinicoPath for jamovi version: 0.0.2.05 authors: - Serdar Balci description: Analysis for Clinicopathological Research Survival Module of ClinicoPath for jamovi ClinicoPath help researchers to generate natural language summaries of their dataset, generate cross tables with statistical tests, and survival analysis with survival tables, survival plots, and natural language summaries. architectures: - name: win64 path: jsurvival-0.0.2.05.jmo requires: jamovi: '>= 1.8.1.0' - name: endoj title: endoj version: 0.2.0 authors: - Marcello Gallucci - Andrea Zagaria description: Jamovi module for instrumental variables two stages regresssion architectures: - name: win64 path: endoj-0.2.0.jmo requires: jamovi: '>= 2.3.1.0' - name: flexplot title: Flexplot - Graphically Based Data Analysis version: 0.7.2 authors: - Dustin Fife description: 'The flexplot suite is a graphically-based set of tools for doing data analysis. Flexplot allows users to specify a formula and the software automatically choses what sort of graphic to present. glinmod allows linear modeling and, like flexplot, chooses an appropriate graphic to present alongside the statistical ' architectures: - name: win64 path: flexplot-0.7.2.jmo requires: jamovi: '>= 1.0.8.0' - name: jjstatsplot title: Wrapper for ggstatsplot version: 0.0.2.02 authors: - Serdar Balci description: 'A wrapper for ggstatsplot: jjstatsplot help researchers to generate plots in jamovi based on ggstatsplot package.' architectures: - name: win64 path: jjstatsplot-0.0.2.02.jmo requires: jamovi: '>= 1.2.19.0' - name: seolmatrix title: Correlations suite for jamovi version: 3.7.2 authors: - Hyunsoo Seol description: This module is a tool for calculating correlations such as Pearson, Partial, Tetrachoric, Polychoric, Spearman, Intraclass correlation, Bootstrap agreement, Rater Reliability, Fleiss Kappa, Multilevel correlation, Concordance correlation, Analytic Hierarchy Process, Correlation structure, and allows users to produce Gaussian Graphical Model and Partial plot. architectures: - name: win64 path: seolmatrix-3.7.2.jmo requires: jamovi: '>= 1.0.8.0' - name: snowIRT title: Item Response Theory version: 4.8.8 authors: - Hyunsoo Seol description: This module includes item distractor analysis, item and person Statistics, Model fit, Differential Item Functioning, Wright Map, Expected Scores Curve,and Item Characteristic Curves for DIF using MML estimation of the Rasch measurement model. architectures: - name: win64 path: snowIRT-4.8.8.jmo requires: jamovi: '>= 1.8.0.0' - name: snowRMM title: Rasch Mixture, LCA, and Test Equating Analysis version: 5.6.0 authors: - Hyunsoo Seol description: 'This module allows users to conduct Latent class analysis based on poLCA R package, Latent Profile Analysis, Rasch model,Linear Logisitic Test Model, Linear and Equipercentile Equating, and Rasch mixture model including model information,fit statistics,and bootstrap item fit. ' architectures: - name: win64 path: snowRMM-5.6.0.jmo requires: jamovi: '>= 1.8.0.0' - name: snowCluster title: Multivariate Analysis version: 7.1.7 authors: - Hyunsoo Seol description: This module allows users to analyze k-means and hierarchical clustering,Correspondence Analysis, Multiple Factor Analysis, Factor analysis of mixed data, Discriminant Analysis, Multidimensional Scaling, Univariate time series, Prophet analysis, Decision Tree, Machine Learning,and various visualization results. architectures: - name: win64 path: snowCluster-7.1.7.jmo requires: jamovi: '>= 1.8.0.0' - name: snowLatent title: Latent Class Analysis for jamovi version: 2.3.4 authors: - Hyunsoo Seol description: This module allows users to conduct LCA, Multiple group LCA, Multilevel LCA based on glca R package. architectures: - name: win64 path: snowLatent-2.3.4.jmo requires: jamovi: '>= 1.0.8.0' - name: cNORMj title: Continuous Norming version: 2.0.0 authors: - Wolfgang Lenhard - Alexandra Lenhard description: Conventional and regression-based continuous norming methods for psychometric, biometric and medical test construction. Percentiles and norm scores are estimated via inverse normal transformation and modeled via Taylor polynomials. The continuous method reduces the necessary sample size, closes gaps between and within the norm groups and decreases error variance in the norm data. architectures: - name: win64 path: cNORMj-2.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: moretests title: moretests - Adds more tests to the jamovi analyses version: 0.9.5 authors: - Jonathon Love - Victor Moreno description: Adds additional normality tests (Kolmogorov-Smirnov and Anderson-Darling) and homogeneity of variances (Bartlett's) to the jamovi t-tests, One-way ANOVA, ANOVA, ANCOVA and linear Regression architectures: - name: win64 path: moretests-0.9.5.jmo requires: jamovi: '>= 1.0.8.0' - name: distrACTION title: distrACTION - Quantiles and Probabilities of Continuous and Discrete Distributions version: 1.1.1 authors: - Boris Mayer - Michael Rihs - Cameron Redsell-Montgomerie description: 'A tool for calculating and plotting probabilities and quantiles (cumulative and central) for a number of continuous and discrete distributions. ' architectures: - name: win64 path: distrACTION-1.1.1.jmo requires: jamovi: '>= 1.0.8.0' - name: clt title: Demonstrations version: 1.0.0 authors: - Gasper Cankar description: 'Simple simulations to help students visualize first lessons in probability: how and when binomial distribution approximates normal and how Law of big numbers and Central Limit Theorem work. Students can visualize correlations of different sizes and grasp important concepts when testing hypotheses.' architectures: - name: win64 path: clt-1.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: ztestvis title: Conducts a one-sample z-test version: 1.1.0 authors: - W. Joel Schneider description: Conducts a one-sample z-test architectures: - name: win64 path: ztestvis-1.1.0.jmo requires: jamovi: '>= 1.0.8.0' - name: lsj-data title: learning statistics with jamovi version: 1.0.1 authors: - Danielle Navarro - David Foxcroft description: 'This module provides examples data sets to accompany the book learning statistics with jamovi. ' architectures: - name: win64 path: lsj-data-1.0.1.jmo requires: jamovi: '>= 1.2.0.0' - name: r-datasets title: R data sets version: 1.0.1 authors: - The R Core Team description: 'This module provides the example data sets from R ' architectures: - name: win64 path: r-datasets-1.0.1.jmo requires: jamovi: '>= 1.2.0.0' - name: Statkat title: Statkat - Method Selection Tool version: 1.0.2 authors: - Rivka M. de Vries description: This tool will help you to find an appropriate statistical method given your research question and the measurement level of your data. architectures: - name: win64 path: Statkat-1.0.2.jmo requires: jamovi: '>= 1.0.8.0' - name: SimplyAgree title: Flexible and Robust Agreement and Reliability Analyses version: 0.1.0 authors: - Aaron R. Caldwell description: Agreement and Reliability Analyses for nested designs. architectures: - name: win64 path: SimplyAgree-0.1.0.jmo requires: jamovi: '>= 1.0.8.0' - name: ufs title: 'ufs: tools for confidence intervals and other tricks' version: 0.3.1 authors: [] description: The ufs module makes functions from the eponymous R package available in jamovi. These include functions for computing confidence intervals for effect sizes, computing the required sample size for estimating an effect size with a confidence interval of a given width, producing diamond plots, creating a multiple response table, and to do some basic operations such as (dis)attenuate effect size estimates. architectures: - name: win64 path: ufs-0.3.1.jmo requires: jamovi: '>= 1.0.8.0' - name: behaviorchange title: Tools for Behavior Change Researchers and Professionals version: 0.2.2 authors: - Gjalt-Jorn Peters - Rik Crutzen - Stefan Gruijters description: This Jamovi module contains specialised analyses and visualisation tools for research in and application of behavior change science. These facilitate conducting determinant studies (for example, using confidence interval-based estimation of relevance, CIBER, or CIBERlite plots), systematically developing, reporting, and analysing interventions (for example, using acyclic behavior change diagrams or ABCDs), reporting about intervention effectiveness (using the Numbers Needed for Change), and computing the required sample size (using the Meaningful Change Definition). This package is especially useful for researchers in the field of behavior change or health psychology and to behavior change professionals such as intervention developers and prevention workers. architectures: - name: win64 path: behaviorchange-0.2.2.jmo requires: jamovi: '>= 1.0.8.0' - name: metaumbrella title: Umbrella Review version: 1.0.5 authors: - Corentin J Gosling [aut, cre], Aleix Solanes [aut], Paolo Fusar-Poli [aut], Joaquim Radua [aut] description: 'A comprehensive range of facilities to perform umbrella reviews with stratification of the evidence. This module accomplishes this aim by building on three core functions that: (i) automatically perform all required calculations in an umbrella review (including but not limited to pairwise meta-analyses), (ii) stratify evidence according to various classification criteria, and (iii) generate a visual representation of the results. ' architectures: - name: win64 path: metaumbrella-1.0.5.jmo requires: jamovi: '>= 1.0.8.0' - name: Randomizer title: Randomize common experimental designs version: 0.4.0 authors: - Michael Bomford description: Randomize balanced single factor or full factorial experiments using Completely Randomized, Randomized Complete Block, or Latin Square designs. Generate plot maps, plot lists, and design property tables. Restore a particular randomization by seed. Prepare for randomization by making each factor name a column header in jamovi's spreadsheet, with levels of that factor listed below. architectures: - name: win64 path: Randomizer-0.4.0.jmo requires: jamovi: '>= 1.0.8.0' - name: ClinicoPathDescriptives title: Descriptives Functions for Clinicopathological Research version: 0.0.2.05 authors: - Serdar Balci description: Descriptives Functions for Clinicopathological Research Descriptive functions from ClinicoPath jamovi module. ClinicoPath help researchers to generate natural language summaries of their dataset, generate cross tables with statistical tests, and survival analysis with survival tables, survival plots, and natural language summaries. architectures: - name: win64 path: ClinicoPathDescriptives-0.0.2.05.jmo requires: jamovi: '>= 1.6.0.0' - name: meddecide title: Functions for Medical Decision in ClinicoPath jamovi Module version: 0.0.2.08 authors: - Serdar Balci description: 'This module contains functions for interobserver and intraobserver reliability and decision tests (sensitivity, specificity, PPV, NPV). Power analyses are available.' architectures: - name: win64 path: meddecide-0.0.2.08.jmo requires: jamovi: '>= 1.8.1.0' - name: psychoPDA title: Psychometrics & Post-Data Analysis version: 1.0.5 authors: - Lucas Friesen description: 'A suite designed to enable the performance of post-data analyses in pyschometric research. ' architectures: - name: win64 path: psychoPDA-1.0.5.jmo requires: jamovi: '>= 1.0.8.0' - name: QM title: Analysis of data from Q-methodology version: 0.9.0 authors: - Thomas Leblay - Juliette Victoire - "S\xE9bastien L\xEA" description: This module allows you to analyze Q-methodology data, the French way. Enjoy. architectures: - name: win64 path: QM-0.9.0.jmo requires: jamovi: '>= 1.0.8.0' - name: MEDA title: Multivariate Exploratory Data Analysis version: 1.0.0 authors: - Thomas Leblay - Fiona Tuffin - Maxime Saland - "Ma\xEFwen Faure" - "S\xE9bastien L\xEA" description: 'This module allows you to perform multivariate exploratory analyses the French way. In other words, you will be able to add supplementary information for a better understanding of your results. Four main methods have been implemented: Principal Component Analysis, Correspondence Analysis, Multiple Correspondence Analysis and Multiple Factor Analysis. You can also get an automatic description of a variable based on the other variables of the dataset (categorical/quantitative). Results are obtained thanks to the FactoMineR package. These analyses are described in the MEDA website.' architectures: - name: win64 path: MEDA-1.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: SEDA title: Sensory Evaluation Data Analysis version: 1.2.0 authors: - Thomas Leblay - Fiona Tuffin - Thomas Vincent - "Ma\xEBlle Beaudinet" - Maxime Saland - "Ma\xEFwen Faure" - "S\xE9bastien L\xEA" description: This module allows you to analyze two types of sensory data. A first one, when stimuli are described according to a fixed list of sensory attributes (QDA data, JAR data). A second one, when stimuli are described freely (Napping and sorting data). It is also possible to get an external preference mapping. Results are obtained thanks to the SensoMineR package. architectures: - name: win64 path: SEDA-1.2.0.jmo requires: jamovi: '>= 1.0.8.0' - name: JAR title: Just-About-Right Data Analysis version: 1.0.0 authors: - Ekaitz Esteban description: Just-About-Right Scale and penalty analysis for a given product. architectures: - name: win64 path: JAR-1.0.0.jmo requires: jamovi: '>= 1.0.8.0' - name: blandr title: Bland-Altman Method Comparison version: 0.5.1 authors: - Deepankar Datta description: This module provides Bland-Altman method comparison analysis, and is also available as an R package from CRAN architectures: - name: win64 path: blandr-0.5.1.jmo requires: jamovi: '>= 1.0.8.0' - name: jmvbaseR title: Base R version: 1.1.2 authors: - Jonathon Love - Damian Dropmann - Ravi Selker description: 'A simple module which makes the analyses from the stats package (included with R) useable from jamovi. This module is ideal for teaching and learning R (when run in ''syntax mode'') as it demonstrates the syntax for some basic but common R analyses. ' architectures: - name: win64 path: jmvbaseR-1.1.2.jmo requires: jamovi: '>= 1.0.8.0' - name: rosetta title: Parallel Use of Statistical Packages in Teaching version: 0.1.3 authors: [] description: When teaching statistics, it can often be desirable to uncouple the content from specific software packages. To ease such efforts, the Rosetta Stats book allows comparing analyses in different packages. This module is the companion to the Rosetta Stats book, containing the example datasets used in the book and eventually aiming to provide functions that produce output that is similar to output from other statistical packages, thereby facilitating 'software-agnostic' teaching of statistics. architectures: - name: win64 path: rosetta-0.1.3.jmo requires: jamovi: '>= 1.0.8.0' - name: jmvarcade title: jamovi Arcade version: 1.1.0 authors: - Ravi Selker description: There's a time for work and there's a time for play. Step into the jamovi Arcade to leave your sorrows behind and relax for a while. Play games such as hangman and blackjack and find out whether you have got what it takes to be the next covfefe? architectures: - name: win64 path: jmvarcade-1.1.0.jmo requires: jamovi: '>= 1.0.8.0'