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: 0.1.1 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, finetune, knitr, markdown, modeldata, rmarkdown, shinytest, spelling, testthat (≥ 3.0.0), vdiffr, withr Published: 2024-01-31 DOI: 10.32614/CRAN.package.shinymodels Author: Max Kuhn [aut], Shisham Adhikari [aut], Julia Silge [aut], Simon Couch [aut, cre], Posit Software, PBC [cph, fnd] Maintainer: Simon Couch <simon.couch at posit.co> BugReports: https://github.com/tidymodels/shinymodels/issues License: MIT + file LICENSE URL: https://shinymodels.tidymodels.org, https://github.com/tidymodels/shinymodels NeedsCompilation: no Language: en-US Materials: README NEWS CRAN checks: shinymodels results Documentation: Downloads: Linking:Please use the canonical form https://CRAN.R-project.org/package=shinymodels to link to this page.
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