General, Mixed and Generalized Models module for jamovi

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GAMLj offers tools to estimate, visualize, and interpret General Linear Models, Mixed Linear Models and Generalized Linear Models with categorial and/or continuous variables, with options to facilitate estimation of interactions, simple slopes, simple effects, post-hoc tests, etc.

Available models are:

Please visit the sub-modules pages for details:

Examples

Some worked out examples of the analyses carried out with jamovi GAMLj are posted here (more to come)

General Linear Model
Mixed models
Generalized Linear Models
Generalized Mixed Models

Details

Installation

If you didn’t already, install jamovi and run it. Select the jamovi modules library and install GAMLj from there

Linux

If you are working in linux you can download Jamovi, then download the .jmo from this link gamlj binaries.

Others

You will first need to download Jamovi.

You can clone this repository and compile the module within R with

library(jmvtools)

jmvtools::install()

Install in R

To install it in R, simple use:


devtools::install_github("gamlj/gamlj")

Troubleshooting

Please check out the troubleshooting page.

Release notes

Please check out the Release notes.

Quality control

Please check the rosetta store for alignment with other software results and possible discrepancies.

Specs

Comments?

Got comments, issues or spotted a bug? Please open an issue on GAMLj at github or send me an email