The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.
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>.
| Version: | 1.0.0 |
| Imports: | stats, utils, graphics, grDevices |
| Suggests: | nlme, lme4, MASS, glmmTMB, mgcv, numDeriv, sandwich |
| Published: | 2025-07-22 |
| DOI: | 10.32614/CRAN.package.easyViz |
| Author: | Luca Corlatti [aut, cre] |
| Maintainer: | Luca Corlatti <lucac1980 at yahoo.it> |
| License: | GPL-3 |
| NeedsCompilation: | no |
| CRAN checks: | easyViz results |
| Reference manual: | easyViz.html , easyViz.pdf |
| Package source: | easyViz_1.0.0.tar.gz |
| Windows binaries: | r-devel: easyViz_1.0.0.zip, r-release: easyViz_1.0.0.zip, r-oldrel: easyViz_1.0.0.zip |
| macOS binaries: | r-release (arm64): easyViz_1.0.0.tgz, r-oldrel (arm64): easyViz_1.0.0.tgz, r-release (x86_64): easyViz_1.0.0.tgz, r-oldrel (x86_64): easyViz_1.0.0.tgz |
Please use the canonical form https://CRAN.R-project.org/package=easyViz to link to this page.
These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.