jamovi
There are 4 repositories under jamovi topic.
- Language:JavaScript 527
- Language:R 38
- Language:C++ 18
rcalinjageman / esci
Estimation Statistics with Confidence Intervals
Language:R 16sbalci / ClinicoPathJamoviModule
ClinicoPath jamovi Module
Language:R 15- Language:R 11
hyunsooseol / seolmatrix
This module is a tool for calculating correlations such as Partial, Tetrachoric, Intraclass correlation coefficients, Bootstrap agreement, Rater reliability, Generalizability Theory, Analytic Hierarchy Process, and allows users to produce Gaussian Graphical Model and Partial plot.
intraclass-correlation-coefficientstetrachoric-correlationgaussian-graphical-modelspartial-correlationbootstrap-agreementjamoviconcordance-correlation-coefficientmultilevel-correlationspolychoric-correlationgeneralizability-theoryrater-reliabilityanalytic-hierarchy-processcorrelation-structurekappa-statisticrepeated-measures-correlationLanguage:R 9This module includes Item Statistics, Model fit, Differential Item Functioning, Wright Map, Expected Scores Curve,and Item Characteristic Curve for DIF using MML estimation of the Rasch measurement model. Furthermore you can analyze DIF, Distractor analysis and Many facet Rasch model.
Language:R 9- jammLanguage:R 9
This module allows users to analyze k-means & hierarchical clustering, and visualize results of Principal Component, Correspondence Analysis, Discriminant analysis, Decision tree, Multidimensional scaling, Multiple Factor Analysis, Machine learning, and Prophet analysis.
jamovik-means-clusteringpca-analysis-plothierarchical-clusteringdiscriminant-analysismultiple-factor-analysiscorrespondence-analysismultidimensional-scalingclassification-analysisdecision-treemachine-learningunivariate-timeseriesprophet-analysisclustering-dendrogrammultiple-correspondence-analysisrocLanguage:R 8Latent Class analysis: This module allows users to conduct LCA, Multiple group LCA, and Multilevel LCA based on glca R package, and provide plot such as Profile plot and Radar chart within module.
Language:R 8wrapper functions to use ggstatsplot functions as a module in jamovi
Language:R 8This module provides Latent Class Analysis, Laten Profile Analysis, Rasch model, Linear Logistic Test Model, and Rasch mixture model including model information,fit statistics,and bootstrap fit based on JMLE. Furthermore, linear and equipercentile equating can be performed within module.
Language:R 7- oilabs-jamoviLanguage:HTML 6
- Language:R 6
- Language:R 4
- Language:R 4
g33xter / CVE-2021-28079
POC Jamovi <=1.6.18 is affected by a cross-site scripting (XSS) vulnerability. The column-name is vulnerable to XSS in the ElectronJS Framework. An attacker can make a .omv (Jamovi) document containing a payload. When opened by victim, the payload is triggered.
- Language:HTML 3
- Language:R 3
cwendorf / Sourcebook
Basic Statistical Methods for Social Science [Textbook]
Language:HTML 2- Language:R 2
- Language:HTML 2
- Language:HTML 2
mosesjimmy / Workshop-Training-Manual
A manual that provides a brief step-by-step instructions on data analysis using R and Jamovi.
Language:R 2- Language:R 2
raviselker / scatr
Create scatter plots with marginal density / box plots in jamovi and R
Language:R 2- Language:Python 2
AnikaNissen / chi2023instagraminfluencers
Are You Human?
Language:Jupyter Notebook 1- Language:R 1
jamovi-amm / jamovi-amm.github.io
Docs of jamovi Advanced Mediation Models
Language:HTML 1Malschuetzky / jSumTTest
A jamovi module to calculate Student's and Welch's t-Test (including related Cohen's d) based on summary data (mean, standard deviation, and sample size), to comprehend reported tests.
Language:R 1ClinicoPath jamovi module Descriptives
Language:R 1- Language:R 1
dahmansphi / analysis_from_start_to_end
The Big Bang of Data Science- Analysis from the Start to The End- [Book Two]
lerlerchan / FuzzyDelphiJmv
The project investigates the evolution of a Fuzzy delphi method module that has been incorporated into Jamovi and explores its potential uses and benefits.
Language:R
