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ensModelVis: Visualisations for Model Ensembles

Displays for model fits of multiple models and their ensembles. For classification models, the plots are heatmaps, for regression, scatterplots.

Version: 0.2.0
Depends: R (≥ 4.1.0)
Imports: dplyr, forcats, ggplot2, rlang, tidyr
Suggests: discrim, glmnet, kernlab, knitr, MASS, nnet, ranger, rmarkdown, stacks, stringr, tidymodels
Published: 2026-01-20
DOI: 10.32614/CRAN.package.ensModelVis
Author: Katarina Domijan ORCID iD [aut, cre]
Maintainer: Katarina Domijan <domijank at tcd.ie>
BugReports: https://github.com/domijan/ensModelVis/issues
License: MIT + file LICENSE
URL: https://github.com/domijan/ensModelVis
NeedsCompilation: no
Materials: README
CRAN checks: ensModelVis results

Documentation:

Reference manual: ensModelVis.html , ensModelVis.pdf
Vignettes: ClassificationEg (source, R code)
RegressionEg (source, R code)

Downloads:

Package source: ensModelVis_0.2.0.tar.gz
Windows binaries: r-devel: ensModelVis_0.2.0.zip, r-release: ensModelVis_0.2.0.zip, r-oldrel: ensModelVis_0.2.0.zip
macOS binaries: r-release (arm64): ensModelVis_0.2.0.tgz, r-oldrel (arm64): ensModelVis_0.2.0.tgz, r-release (x86_64): ensModelVis_0.2.0.tgz, r-oldrel (x86_64): ensModelVis_0.2.0.tgz
Old sources: ensModelVis archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=ensModelVis 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.