shinymodels: Interactive Assessments of Models

Launch a 'shiny' application for 'tidymodels' results. For classification or regression models, the app can be used to determine if there is lack of fit or poorly predicted points.

Version: 0.1.0
Depends: ggplot2, R (≥ 2.10)
Imports: dplyr, DT, generics (≥ 0.1.0), glue, htmltools, magrittr, parsnip, plotly, purrr, rlang, scales, shiny, shinydashboard, stats, tidyr, tidyselect, tune, yardstick
Suggests: covr, knitr, markdown, modeldata, rmarkdown, shinytest, spelling, testthat (≥ 3.0.0)
Published: 2021-11-17
Author: Max Kuhn ORCID iD [aut, cre], Shisham Adhikari [aut], Julia Silge ORCID iD [aut], RStudio [cph]
Maintainer: Max Kuhn <max at>
License: MIT + file LICENSE
NeedsCompilation: no
Language: en-US
Materials: README NEWS
CRAN checks: shinymodels results


Reference manual: shinymodels.pdf


Package source: shinymodels_0.1.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
macOS binaries: r-release (arm64): shinymodels_0.1.0.tgz, r-oldrel (arm64): shinymodels_0.1.0.tgz, r-release (x86_64): shinymodels_0.1.0.tgz, r-oldrel (x86_64): shinymodels_0.1.0.tgz


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