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.


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install.packages("shinymodels")

0.1.0 by Max Kuhn, 9 days ago


https://shinymodels.tidymodels.org, https://github.com/tidymodels/shinymodels


Report a bug at https://github.com/tidymodels/shinymodels/issues


Browse source code at https://github.com/cran/shinymodels


Authors: Max Kuhn [aut, cre] , Shisham Adhikari [aut] , Julia Silge [aut] , RStudio [cph]


Documentation:   PDF Manual  


MIT + file LICENSE license


Imports dplyr, DT, generics, glue, htmltools, magrittr, parsnip, plotly, purrr, rlang, scales, shiny, shinydashboard, stats, tidyr, tidyselect, tune, yardstick

Depends on ggplot2

Suggests covr, knitr, markdown, modeldata, rmarkdown, shinytest, spelling, testthat


See at CRAN