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General, Mixed, Generalized, and Generalized Mixed Models

Version 3.4.2

Estimates a General Linear Model, Mixed Linear Models, Generalized Linear Models and Generalized Mixed Models with categorical and/or continuous variables, with options to facilitate estimation of interactions, simple slopes, simple effects, post-hoc etc.

• Continuous and categorical independent and dependent variables
• F-test and parameter estimates
• Confidence intervals
• Moderation made easy
• Simple slopes analysis
• Simple effects
• Polynomial effects
• Post-hoc analysis
• Contrasts analysis
• Plots up to three-way interactions
• Automatic selection of best estimation methods and degrees of freedom selection
• Type III estimation

More information can be found atGAMLj page

Please installjamovi and run it. Select the jamovi modules library and install GAMLj from there

GAMLj has undergone a major upgrading with version 3.*. The upgrading made version 3 not compatible with previous versions of the module, meaningthat analyses that are done with previous versions cannot be opened with version 3. If you need to open and work with analyses done with GAMLj version < 3.0.0, you can install GAMLj legacy from the jamovi library. It will not interfere with GAMLj3.

In your R script (or Rstudio) simply issue

devtools::install_github("gamlj/gamlj")

You will first need to downloadjamovi.

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

library(jmvtools)jmvtools::install()

If you want to install the latest previous version of the module (Version 2.6.6) in R, run this:

devtools::install_github("gamlj/gamlj",ref="Version.2.6.6")

paste(paste(LETTERS[c(7,1,13,12)],collapse =""),paste(letters[10]),sep="")<center><img width="300" src="https://gamlj.github.io/commons/pics/ui.png" alt=""></center><br>Estimates a General Linear Model, Mixed Linear Models, Generalized Linear Models and Generalized Mixed Models with categorial and/or continuous variables, with options to facilitate estimation of interactions, simple slopes, simple effects, post-hoc etc.* Continuous and categorical independent and dependent variables* F-test and parameter estimates* Confidence intervals* Moderation made easy* Simple slopes analysis* Simple effects* Polynomial effects* post-hoc analysis* Plots up to three-way interactions* Automatic selection of best estimation methods and degrees of freedom selection* Type III estimationMore informations can be found at [GAMLj page](https://gamlj.github.io/)# Install in jamoviPlease install [jamovi](https://www.jamovi.org/download.html) and run it. Select the jamovi modules library and install GAMLj from there<center><img width="600" src="https://gamlj.github.io/glm/install.png" alt=""></center># Version 3GAMLj has undergone a major upgrading with version 3.*. The upgrading made version 3 not compatible with previous versions of the module, meaningthat analyses that are done with previous versions cannot be opened with version 3. If you need to open and work with analyses done with GAMLj version < 3.0.0, you can install GAMLj legacy from the jamovi library. It will not interfere with GAMLj3.## From GitHubIn your R script (or Rstudio) simply issue

devtools::install_github("gamlj/gamlj")

## From sourceYou will first need to download [jamovi](https://www.jamovi.org/download.html). You can clone this repository and compile the module within R with

library(jmvtools)

jmvtools::install()

# Previous Version (GAMLj 2.6.6 or below)If you want to install the latest previous version of the module (Version 2.6.6) in R, run this:

devtools::install_github("gamlj/gamlj",ref="Version.2.6.6")

# Programmatic name

paste(paste(LETTERS[c(7,1,13,12)],collapse =""),paste(letters[10]),sep="")

Estimates a General Linear Model, Mixed Linear Models, Generalized Linear Models and Generalized Mixed Models with categorial and/or continuous variables, with options to facilitate estimation of interactions, simple slopes, simple effects, post-hoc etc.

• Continuous and categorical independent and dependent variables
• F-test and parameter estimates
• Confidence intervals
• Moderation made easy
• Simple slopes analysis
• Simple effects
• Polynomial effects
• post-hoc analysis
• Plots up to three-way interactions
• Automatic selection of best estimation methods and degrees of freedom selection
• Type III estimation

More informations can be found atGAMLj page

Please installjamovi and run it. Select the jamovi modules library and install GAMLj from there

GAMLj has undergone a major upgrading with version 3.*. The upgrading made version 3 not compatible with previous versions of the module, meaningthat analyses that are done with previous versions cannot be opened with version 3. If you need to open and work with analyses done with GAMLj version < 3.0.0, you can install GAMLj legacy from the jamovi library. It will not interfere with GAMLj3.

In your R script (or Rstudio) simply issue

devtools::install_github("gamlj/gamlj")

You will first need to downloadjamovi.

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

library(jmvtools)jmvtools::install()

If you want to install the latest previous version of the module (Version 2.6.6) in R, run this:

devtools::install_github("gamlj/gamlj",ref="Version.2.6.6")

paste(paste(LETTERS[c(7,1,13,12)],collapse =""),paste(letters[10]),sep="")