Interactive Assessments of Models R package shinymodels version 0.1.1 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. Software 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 Simon Couch <simon.couch@posit.co> Comprehensive R Archive Network (CRAN) Max Kuhn [aut] (ORCID: <https://orcid.org/0000-0003-2402-136X>), Shisham Adhikari [aut], Julia Silge [aut] (ORCID: <https://orcid.org/0000-0002-3671-836X>), Simon Couch [aut, cre] (ORCID: <https://orcid.org/0000-0001-5676-5107>), Posit Software, PBC [cph, fnd] MIT + file LICENSE (https://CRAN.R-project.org/package=shinymodels/LICENSE) 2024-01-31 application/tgz https://CRAN.R-project.org/package=shinymodels doi:10.32614/CRAN.package.shinymodels en-US