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 |
| 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 |