emmeans

Version 1.0.0 (11,8 KB) von John Hartman
Estimated marginal (predicted) means from generalized linear mixed effect models in Matlab
612 Downloads
Aktualisiert 13. Jun 2020

Estimated marginal (predicted) means from generalized linear mixed effect models in Matlab. Requires the Stats toolbox.

The intent of these Matlab functions is to replicate (at least partially) the incredibly useful 'emmeans' package in R. For now, only output from fitglme can be used. Major limitation is that only interactions between categorical predictor variables are accepted (not between continuous variables or categorical-continuous interactions).

For hypothesis testing, the main difference between using these functions and the native support (e.g. coefTest) is that contrast_wald can take contrasts of the EMMs as input (rather than contrasts defined by the coefficients). Using these EMM contrasts is easier for models with many parameters and also for models with categorical predictors where testing the reference level can be confusing.

Zitieren als

John Hartman (2026). emmeans (https://github.com/jackatta/estimated-marginal-means), GitHub. Abgerufen.

Kompatibilität der MATLAB-Version
Erstellt mit R2016a
Kompatibel mit allen Versionen
Plattform-Kompatibilität
Windows macOS Linux
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Versionen, die den GitHub-Standardzweig verwenden, können nicht heruntergeladen werden

Version Veröffentlicht Versionshinweise
1.0.0

Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.
Um Probleme in diesem GitHub Add-On anzuzeigen oder zu melden, besuchen Sie das GitHub Repository.