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 + fileLICENSE |
| URL: | https://shinymodels.tidymodels.org,https://github.com/tidymodels/shinymodels |
| NeedsCompilation: | no |
| Language: | en-US |
| Materials: | README,NEWS |
| CRAN checks: | shinymodels results |