Package: ensModelVis 0.2.0

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.

Authors:Katarina Domijan [aut, cre]

ensModelVis_0.2.0.tar.gz
ensModelVis_0.2.0.zip(r-4.7)ensModelVis_0.2.0.zip(r-4.6)ensModelVis_0.2.0.zip(r-4.5)
ensModelVis_0.2.0.tgz(r-4.6-any)ensModelVis_0.2.0.tgz(r-4.5-any)
ensModelVis_0.2.0.tar.gz(r-4.7-any)ensModelVis_0.2.0.tar.gz(r-4.6-any)
ensModelVis_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
ensModelVis/json (API)

# Install 'ensModelVis' in R:
install.packages('ensModelVis', repos = c('https://domijan.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/domijan/ensmodelvis/issues

On CRAN:

Conda:

4.00 score 9 scripts 172 downloads 1 exports 30 dependencies

Last updated from:1e1171e576. Checks:9 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64OK163
source / vignettesOK233
linux-release-x86_64OK165
macos-release-arm64OK102
macos-oldrel-arm64OK225
windows-develOK101
windows-releaseOK102
windows-oldrelOK177
wasm-releaseOK138

Exports:plot_ensemble

Dependencies:clicpp11dplyrfarverforcatsgenericsggplot2gluegtableisobandlabelinglifecyclemagrittrpillarpkgconfigpurrrR6RColorBrewerrlangS7scalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr

Classification Example

Rendered fromClassificationEg.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2026-01-14
Started: 2022-07-17

Regression Example

Rendered fromRegressionEg.Rmdusingknitr::rmarkdownon May 21 2026.

Last update: 2026-01-14
Started: 2022-07-10