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jamovi-modules

jamovi-plugin-for-machine-learning

jamovi-readstat

A python library for reading SPSS, SAS, and Stata data files, based on ReadStat

jamovi_mixed

jamovidocs

jamoviguide.com

A quickstart guide for jamovi

jamovimeta

Meta-Analysis for JAMOVI

jamovipsychopda

Psychometrics & Post Data Analysis (PsychoPDA) provides a suite of modules designed to enable researchers to perform post-data analyses in psychometric validation research. Currently, these functions include: Differential Item functioning and Retroactive Design Analysis for T-Tests of mean differences and correlations.

jamovipsychopda_docs

jamoviref

jamovi statistics reference

jamovitemplate

Template for a Basic jamovi Module

janitor

simple tools for data cleaning in R

jjstatsplot

wrapper functions to use ggstatsplot functions as a module in jamovi

jmv

jamovi for R

jmv-1

:exclamation: This is a read-only mirror of the CRAN R package repository. jmv — The 'jamovi' Analyses

jmvarcade

Games for jamovi

jmvbaser

A jamovi module which provides analyses from the base R packages

jmvconnect

:exclamation: This is a read-only mirror of the CRAN R package repository. jmvconnect — Connect to the 'jamovi' Statistical Spreadsheet

jmvconnect-1

jamovi-connect tools

jmvcore

:exclamation: This is a read-only mirror of the CRAN R package repository. jmvcore — Dependencies for the 'jamovi' Framework. Homepage: https://www.jamovi.org Report bugs for this package: https://github.com/jamovi/jmvcore/issues

jmvcore-1

The jamovi core for R

jmvexamples

Examples which demonstrate the building of analyses for jamovi

jmvreadwrite

Routines to read and write (jamovi) OMV-files from R

jmvtools

Create "Correlations" jamovi module

jmvtools-1

An R package which makes it easy to develop modules for jamovi

jpower

functions to compute power for various designs

jreshape

jamovi module to reshape datasets

jskm

R package for Kaplan-Meier Plot: Modified ggkm

jsurvival

survival functions in ClinicoPath jamovi module

jtransform

jamovi-module that carries out data set transformations