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: macos
path: scatr-1.2.0.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: Rj
title: Rj - Editor to run R code inside jamovi
version: 2.0.3
authors:
- Jonathon Love
description: Provides an editor allowing you to enter R code, and analyse your data
using R inside jamovi.
architectures:
- name: macos
path: Rj-2.0.3.jmo
requires:
jamovi: '>= 1.8.0.0'
- 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: macos
path: jpower-0.1.2.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: gamlj
title: General Analyses for Linear Models in jamovi
version: 2.6.5
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: macos
path: gamlj-2.6.5.jmo
requires:
jamovi: '>= 1.8.0.0'
- name: semlj
title: SEM
version: 0.7.0
authors:
- Marcello Gallucci
- Sebastian Jentschke
description: Structural Equation Models based on lavaan
architectures:
- name: macos
path: semlj-0.7.0.jmo
requires:
jamovi: '>= 1.8.0.0'
- name: jamm
title: Advanced Mediation Models
version: 1.0.5
authors:
- Marcello Gallucci
description: A suite for the estimation of mediational models, including multiple
mediators, and conditional mediation
architectures:
- name: macos
path: jamm-1.0.5.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: macos
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: macos
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: macos
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: macos
path: surveymv-0.5.0.jmo
requires:
jamovi: '>= 1.2.16.0'
- name: MAJOR
title: Meta-Analysis for JAMOVI
version: 1.2.3
authors:
- W. Kyle Hamilton
description: An interface for Jamovi and the R package Metafor
architectures:
- name: macos
path: MAJOR-1.2.3.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: pathj
title: Path Analysis
version: 0.8.0
authors:
- Marcello Gallucci
description: Path Analysis based on lavaan
architectures:
- name: macos
path: pathj-0.8.0.jmo
requires:
jamovi: '>= 1.8.0.0'
- name: walrus
title: Walrus - Robust Statistical Methods
version: 1.0.2
authors:
- Jonathon Love
- 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: macos
path: walrus-1.0.2.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: TOSTER
title: TOSTER
version: 0.3.3
authors:
- Daniel Lakens
description: Two one-sided tests (TOST) procedures to test equivalence for t-tests
and correlations. More
information.
architectures:
- name: macos
path: TOSTER-0.3.3.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: macos
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: macos
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: macos
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: macos
path: flexplot-0.7.2.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: jjstatsplot
title: Wrapper for ggstatsplot
version: 0.0.2.0095
authors:
- Serdar Balci
description: 'A wrapper for ggstatsplot: jjstatsplot help researchers to generate
plots in jamovi based on ggstatsplot package.'
architectures:
- name: macos
path: jjstatsplot-0.0.2.0095.jmo
requires:
jamovi: '>= 1.2.19.0'
- name: seolmatrix
title: Correlations suite for jamovi
version: 3.6.2
authors:
- Hyunsoo Seol
description: This module is a tool for calculating correlations such as Pearson,
Partial, Tetrachoric, Polychoric, Spearman, Intraclass correlation, Bootstrap
agreement, Multilevel correlation, Concordance correlation, Analytic Hierarchy
Process, Correlation structure, and allows users to produce Gaussian Graphical
Model and Partial plot.
architectures:
- name: macos
path: seolmatrix-3.6.2.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: snowIRT
title: Item Response Theory
version: 4.7.4
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: macos
path: snowIRT-4.7.4.jmo
requires:
jamovi: '>= 1.8.0.0'
- name: snowRMM
title: Rasch Mixture, LCA, and Test Equating Analysis
version: 5.2.1
authors:
- Hyunsoo Seol
description: 'This module allows users to conduct Latent class analysis, 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: macos
path: snowRMM-5.2.1.jmo
requires:
jamovi: '>= 1.8.0.0'
- name: snowCluster
title: Multivariate Analysis
version: 6.7.1
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, and various visualization
results.
architectures:
- name: macos
path: snowCluster-6.7.1.jmo
requires:
jamovi: '>= 1.8.0.0'
- 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: macos
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: macos
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: macos
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: macos
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: macos
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: macos
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: macos
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: macos
path: Statkat-1.0.2.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: SimplyAgree
title: Flexible and Robust Agreement and Reliability Analyses
version: 0.0.2
authors:
- Aaron R. Caldwell
description: Agreement and Reliability Analyses for nested designs.
architectures:
- name: macos
path: SimplyAgree-0.0.2.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: macos
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: macos
path: behaviorchange-0.2.2.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: macos
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: macos
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: 0.0.2.07
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: macos
path: meddecide-0.0.2.07.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: macos
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: macos
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
- "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. Three main methods have been implemented:
Principal Component Analysis, Correspondence Analysis and Multiple Correspondence
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: macos
path: MEDA-1.0.0.jmo
requires:
jamovi: '>= 1.0.8.0'
- name: SEDA
title: Sensory Evaluation Data Analysis
version: 1.0.0
authors:
- Thomas Leblay
- Fiona Tuffin
- Thomas Vincent
- "Ma\xEBlle Beaudinet"
- Maxime Saland
- "S\xE9bastien L\xEA"
description: This module allows you to analyze two types of perception data. A first
one, when stimuli are described according to a fixed list of sensory attributes
(QDA data, for instance). A second one, when stimuli are described freely (Napping
and sorting data). Results are obtained thanks to the SensoMineR package.
architectures:
- name: macos
path: SEDA-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: macos
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: macos
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: macos
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: macos
path: jmvarcade-1.1.0.jmo
requires:
jamovi: '>= 1.0.8.0'