Other packages > Find by keyword >

easyViz  

Easy Visualization of Conditional Effects from Regression Models
View on CRAN: Click here


Download and install easyViz package within the R console
Install from CRAN:
install.packages("easyViz")

Install from Github:
library("remotes")
install_github("cran/easyViz")

Install by package version:
library("remotes")
install_version("easyViz", "2.0.0")



Attach the package and use:
library("easyViz")
Maintained by
Luca Corlatti
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-22
Latest Update: 2025-07-22
Description:
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(), and gam() (from 'mgcv'); nonlinear models via nls(); and generalized least squares via gls(). 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. Robust standard errors for rlm() are computed using the sandwich estimator (Zeileis 2004) <doi:10.18637/jss.v011.i10>. For mixed models using 'glmmTMB', see Brooks et al. (2017) <doi:10.32614/RJ-2017-066>. For linear mixed-effects models with 'lme4', see Bates et al. (2015) <doi:10.18637/jss.v067.i01>. Methods for generalized additive models follow Wood (2017) <doi:10.1201/9781315370279>.
How to cite:
Luca Corlatti (2025). easyViz: Easy Visualization of Conditional Effects from Regression Models. R package version 2.0.0, https://cran.r-project.org/web/packages/easyViz. Accessed 25 Jun. 2026.
Previous versions and publish date:
1.0.0 (2025-07-22 12:10), 1.1.0 (2025-08-21 21:42), 1.2.0 (2025-11-30 10:40), 2.0.0 (2026-01-08 10:00), 2.0.1 (2026-01-24 16:00), 2.0.2 (2026-02-25 22:20)
Other packages that cited easyViz R package
View easyViz citation profile
Other R packages that easyViz depends, imports, suggests or enhances
Complete documentation for easyViz
Functions, R codes and Examples using the easyViz R package
Full easyViz package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA