easyViz: Easy Visualization of Conditional Effects from Regression Models

"easyViz" is an R-package that offers a flexible and user-friendly interface for visualizing conditional effects from a broad range of regression models, including mixed-effects and generalized additive (mixed) models. Compatible model types include lm(), rlm(), glm(), glm.nb(), betareg(), and gam() (from 'mgcv'); nonlinear models via nls(); generalized least squares via gls(); and survival models via coxph() (from 'survival'). Mixed-effects models with random intercepts and/or slopes can be fitted using lmer(), glmer(), glmer.nb(), glmmTMB(), or gam() (from 'mgcv', via smooth terms). Plots are rendered using base R graphics with extensive customization options. The package is available from CRAN! To install manually, download the .tar.gz file, then in R type: "install.packages("path/to/your/folder/easyViz_2.0.0.tar.gz", repos=NULL, type="source")" or install it from RStudio. Once installed, type "library(easyViz)" to start using the function. For more info on how to use it, type "?easyViz". Feel free to use it, but please cite! Corlatti, L. (2026). easyViz: Easy Visualization of Conditional Effects from Regression Models. R package version 1.1.0, doi:10.32614/CRAN.package.easyViz Corlatti, L. (2026). easyViz: Easy Visualization of Conditional Effects from Regression Models [R]. Zenodo. https://doi.org/10.5281/zenodo.14739156