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: | 0.1.0 |
| Imports: | dplyr, forcats, ggplot2, magrittr, rlang, tidyr |
| Suggests: | discrim, glmnet, kernlab, knitr, MASS, nnet, ranger, rmarkdown, stacks, stringr, tidymodels |
| Published: | 2022-07-21 |
| Author: | Katarina Domijan 
[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.pdf |
| Vignettes: |
ClassificationEg RegressionEg |
Downloads:
| Package source: | ensModelVis_0.1.0.tar.gz |
| Windows binaries: | r-devel: ensModelVis_0.1.0.zip, r-release: ensModelVis_0.1.0.zip, r-oldrel: ensModelVis_0.1.0.zip |
| macOS binaries: | r-release (arm64): ensModelVis_0.1.0.tgz, r-oldrel (arm64): ensModelVis_0.1.0.tgz, r-release (x86_64): ensModelVis_0.1.0.tgz, r-oldrel (x86_64): ensModelVis_0.1.0.tgz |
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