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yardstick  

Tidy Characterizations of Model Performance
View on CRAN: Click here


Download and install yardstick package within the R console
Install from CRAN:
install.packages("yardstick")

Install from Github:
library("remotes")
install_github("cran/yardstick")

Install by package version:
library("remotes")
install_version("yardstick", "1.3.1")



Attach the package and use:
library("yardstick")
Maintained by
Emil Hvitfeldt
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-11-12
Latest Update: 2024-01-19
Description:
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).
How to cite:
Emil Hvitfeldt (2017). yardstick: Tidy Characterizations of Model Performance. R package version 1.3.1, https://cran.r-project.org/web/packages/yardstick
Previous versions and publish date:
0.0.1 (2017-11-12 14:45), 0.0.2 (2018-11-05 22:00), 0.0.3 (2019-03-08 20:00), 0.0.4 (2019-08-27 00:40), 0.0.5 (2020-01-23 21:30), 0.0.6 (2020-03-17 19:50), 0.0.7 (2020-07-13 18:10), 0.0.8 (2021-03-28 16:50), 0.0.9 (2021-11-22 22:10), 1.0.0 (2022-06-06 22:20), 1.1.0 (2022-09-08 00:30), 1.2.0 (2023-04-21 10:40), 1.3.0 (2024-01-19 22:20)
Other packages that cited yardstick R package
View yardstick citation profile
Other R packages that yardstick depends, imports, suggests or enhances
Functions, R codes and Examples using the yardstick R package
Some associated functions: accuracy . average_precision . bal_accuracy . brier_class . brier_survival . brier_survival_integrated . ccc . check_metric . classification_cost . concordance_survival . conf_mat . demographic_parity . detection_prevalence . developer-helpers . equal_opportunity . equalized_odds . f_meas . gain_capture . gain_curve . hpc_cv . huber_loss . huber_loss_pseudo . iic . j_index . kap . lift_curve . lung_surv . mae . mape . mase . mcc . metric-summarizers . metric_set . metric_summarizer . metric_tweak . metric_vec_template . metrics . mn_log_loss . mpe . msd . new-metric . new_groupwise_metric . npv . pathology . poisson_log_loss . ppv . pr_auc . pr_curve . precision . recall . reexports . rmse . roc_auc . roc_auc_survival . roc_aunp . roc_aunu . roc_curve . roc_curve_survival . rpd . rpiq . rsq . rsq_trad . sens . smape . solubility_test . spec . summary.conf_mat . two_class_example . yardstick-package . yardstick_remove_missing . 
Some associated R codes: aaa-metrics.R . aaa-new.R . aaa.R . check-metric.R . class-accuracy.R . class-bal_accuracy.R . class-detection_prevalence.R . class-f_meas.R . class-j_index.R . class-kap.R . class-mcc.R . class-npv.R . class-ppv.R . class-precision.R . class-recall.R . class-sens.R . class-spec.R . conf_mat.R . data.R . deprecated-prob_helpers.R . deprecated-template.R . estimator-helpers.R . event-level.R . fair-aaa.R . fair-demographic_parity.R . fair-equal_opportunity.R . fair-equalized_odds.R . import-standalone-obj-type.R . import-standalone-survival.R . import-standalone-types-check.R . metric-tweak.R . misc.R . missings.R . num-ccc.R . num-huber_loss.R . num-iic.R . num-mae.R . num-mape.R . num-mase.R . num-mpe.R . num-msd.R . num-poisson_log_loss.R . num-pseudo_huber_loss.R . num-rmse.R . num-rpd.R . num-rpiq.R . num-rsq.R . num-rsq_trad.R . num-smape.R . prob-average_precision.R . prob-binary-thresholds.R . prob-brier_class.R . prob-classification_cost.R . prob-gain_capture.R . prob-gain_curve.R . prob-helpers.R . prob-lift_curve.R . prob-mn_log_loss.R . prob-pr_auc.R . prob-pr_curve.R . prob-roc_auc.R . prob-roc_aunp.R . prob-roc_aunu.R . prob-roc_curve.R . reexports.R . surv-brier_survival.R . surv-brier_survival_integrated.R . surv-concordance_survival.R . surv-roc_auc_survival.R . surv-roc_curve_survival.R . template.R . validation.R . yardstick-package.R .  Full yardstick package functions and examples
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