Package: easyViz
Title: Easy Visualization of Conditional Effects from Regression Models
Version: 2.2.0
Authors@R: person("Luca", "Corlatti", role = c("aut", "cre"), email="lucac1980@yahoo.it")
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(),
 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). Approximate confidence 
 intervals for rlm(), gls(), nls(), and betareg() models use delta-method variance 
 propagation. Optional sandwich covariance estimators can be specified for compatible 
 model classes (Zeileis 2004 <doi:10.18637/jss.v011.i10>). Plots are rendered using base 
 R graphics with extensive customization options. For beta regression using 'betareg', 
 see Cribari-Neto and Zeileis (2010) <doi:10.18637/jss.v034.i02>. For mixed-effects 
 models with 'lme4', see Bates et al. (2015) <doi:10.18637/jss.v067.i01>. For models 
 using 'glmmTMB', see Brooks et al. (2017) <doi:10.32614/RJ-2017-066>. For generalized 
 additive models using 'mgcv', see Wood (2017) <doi:10.1201/9781315370279>.
Maintainer: Luca Corlatti <lucac1980@yahoo.it>
Imports: stats, utils, graphics, grDevices
Suggests: MASS, sandwich, nlme, numDeriv, reformulas, betareg, statmod,
        survival, lme4, glmmTMB, mgcv
License: GPL-3
Encoding: UTF-8
NeedsCompilation: no
Packaged: 2026-11-14 23:46:41 UTC; lucacorlatti
Author: Luca Corlatti [aut, cre]
Config/roxygen2/version: 8.1.0
Repository: CRAN
Date/Publication: 2026-11-15 00:00:02 UTC
Built: R 4.7.0; ; 2026-11-15 00:54:02 UTC; windows
