jamovi is more than a stats program, it’s a community of stats experts and developers writing specialized modules. Inside jamovi you have access to these modules from the jamovi library; a public space or ‘app store’ where you can download modules important to your work.
Below are a list of modules available from the jamovi library. You can download them from here and sideload them into jamovi, but its easier if you access the jamovi library from inside jamovi itself. You can access the jamovi library inside jamovi through the Modules menu.
Rj - Editor to run R code inside jamovi1.0.8
Provides an editor allowing you to enter R code, and analyse your data using R inside jamovi.
Note that when using the 'System R', Rj is currently not compatible with R 3.5 or newer.
jpower - Power Analysis for Common Research Designs0.1.2
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. gamlj.github.io
The JASP Team, Damian Dropmann, Ravi Selker, and Jonathon Love
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)
distrACTION - Quantiles and Probabilities of Continuous and Discrete Distributions1.0.0
Michael Rihs and Boris Mayer
A tool for calculating and plotting the cumulative distribution function (CDF) and the quantile function (Inverse CDF) for a number of discrete and continuous distributions.
ufs - Tools for Confidence Intervals and Other Tricks0.3.1
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.
behaviorchange - Tools for Behavior Change Researchers and Professionals0.2.2
Gjalt-Jorn Peters, Rik Crutzen, and Stefan Gruijters
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.
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.
blandr - Bland-Altman Method Comparison0.5.1
This module provides Bland-Altman method comparison analysis, and is also available as an R package from CRAN
MAJOR - Meta Analysis1.0.0
A meta-analysis suite based on the R package metafor by Wolfgang Viechtbauer.
Allows you to produce several types of good-looking explorative plots such as scatter plots and pareto charts. You can find it under the 'Exploration' menu.
This module allows you to do simple mediation and moderation analysis.
moretests - more tests for the jamovi analyses0.9.0
Adds additional normality tests (Kolmogorov-Smirnov and Anderson-Darling) to the jamovi t-tests, ANOVA, ANCOVA and Linear Regression.
Two one-sided tests (TOST) procedures to test equivalence for t-tests and correlations. More information.
Jonathon Love, Damian Dropmann, and Ravi Selker
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.
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?