GAMLj version ≥ 3.0.0

This documentation it is being updated toward GAMLj version 3 and above. You still find much of the material suitable for GAMLj version 2. In case you want to read documentation that applies only to version 2, please go to Version 2 docs.

If you are interested in more information about the statistical models that can be estimated by GAMLj, and their results interpretation, you can read GAMLj models, a (in progress) web book companion to the module.

General, Mixed and Generalized Models module for jamovi.

GAMLj offers tools to estimate, visualize, and interpret General Linear Models, Mixed Linear Models and Generalized Linear Models with categorical 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