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Showing content from http://cran.rstudio.com/web/packages/Rcpp/../RcppArray/../Rcpp/../diceR/../yardstick/index.html below:

CRAN: Package yardstick

yardstick: Tidy Characterizations of Model Performance

Tidy tools for quantifying how well model fits to a data set such as confusion matrices, class probability curve summaries, and regression metrics (e.g., RMSE).

Version: 1.3.2 Depends: R (≥ 3.6.0) Imports: cli, dplyr (≥ 1.1.0), generics (≥ 0.1.2), hardhat (≥ 1.3.0), lifecycle (≥ 1.0.3), rlang (≥ 1.1.4), tibble, tidyselect (≥ 1.2.0), utils, vctrs (≥ 0.5.0), withr Suggests: covr, crayon, ggplot2, knitr, probably (≥ 1.0.0), rmarkdown, survival (≥ 3.5-0), testthat (≥ 3.0.0), tidyr Published: 2025-01-22 DOI: 10.32614/CRAN.package.yardstick Author: Max Kuhn [aut], Davis Vaughan [aut], Emil Hvitfeldt [aut, cre], Posit Software, PBC [cph, fnd] Maintainer: Emil Hvitfeldt <emil.hvitfeldt at posit.co> BugReports: https://github.com/tidymodels/yardstick/issues License: MIT + file LICENSE URL: https://github.com/tidymodels/yardstick, https://yardstick.tidymodels.org NeedsCompilation: yes Materials: README, NEWS In views: MachineLearning, Spatial CRAN checks: yardstick results Documentation: Downloads: Reverse dependencies: Reverse imports: adjROC, autostats, diceR, fastml, fastTS, healthyR.ai, ldmppr, MLwrap, modeltime, modeltime.ensemble, modeltime.resample, mrIML, postcard, probably, sae.projection, shinymodels, text, tidyfit, tidymodels, tidysdm, tidytof, treeheatr, trendeval, tune, vip, waywiser Reverse suggests: baguette, BayesERtools, brulee, EZtune, FCPS, finetune, garma, rTwig, shapr, spatialsample, stacks, tabnet, TidyConsultant, tidydann, tidyposterior, vetiver, workflowsets Linking:

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