Package: cutpointr 1.1.2
cutpointr: Determine and Evaluate Optimal Cutpoints in Binary Classification Tasks
Estimate cutpoints that optimize a specified metric in binary classification tasks and validate performance using bootstrapping. Some methods for more robust cutpoint estimation are supported, e.g. a parametric method assuming normal distributions, bootstrapped cutpoints, and smoothing of the metric values per cutpoint using Generalized Additive Models. Various plotting functions are included. For an overview of the package see Thiele and Hirschfeld (2021) <doi:10.18637/jss.v098.i11>.
Authors:
cutpointr_1.1.2.tar.gz
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cutpointr_1.1.2.tar.gz(r-4.5-noble)cutpointr_1.1.2.tar.gz(r-4.4-noble)
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cutpointr.pdf |cutpointr.html✨
cutpointr/json (API)
NEWS
# Install 'cutpointr' in R: |
install.packages('cutpointr', repos = c('https://thie1e.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/thie1e/cutpointr/issues
- prostate_nodal - Nodal involvement and acid phosphatase levels in 53 prostate cancer patients
- suicide - Suicide attempts and DSI sum scores of 532 subjects
bootstrappingcutpoint-optimizationroc-curve
Last updated 3 years agofrom:b84a39cc88. Checks:OK: 1 NOTE: 8. Indexed: yes.
Target | Result | Date |
---|---|---|
Doc / Vignettes | OK | Nov 19 2024 |
R-4.5-win-x86_64 | NOTE | Nov 19 2024 |
R-4.5-linux-x86_64 | NOTE | Nov 19 2024 |
R-4.4-win-x86_64 | NOTE | Nov 19 2024 |
R-4.4-mac-x86_64 | NOTE | Nov 19 2024 |
R-4.4-mac-aarch64 | NOTE | Nov 19 2024 |
R-4.3-win-x86_64 | NOTE | Nov 19 2024 |
R-4.3-mac-x86_64 | NOTE | Nov 19 2024 |
R-4.3-mac-aarch64 | NOTE | Nov 19 2024 |
Exports:abs_d_ppv_npvabs_d_sens_specacc_constrainaccuracyadd_metricaucboot_ciboot_testcohens_kappacutpointcutpoint_knotscutpointrcutpointr_cutpointsF1_scorefalse_discovery_ratefalse_omission_ratefnfnrfpfprJaccardmaximize_boot_metricmaximize_gam_metricmaximize_loess_metricmaximize_metricmaximize_spline_metricmetric_constrainminimize_boot_metricminimize_gam_metricminimize_loess_metricminimize_metricminimize_spline_metricmisclassification_costmulti_cutpointrnlrnpvoc_manualoc_meanoc_medianoc_youden_kerneloc_youden_normalodds_ratiop_chisquaredplot_cut_bootplot_cutpointrplot_metricplot_metric_bootplot_precision_recallplot_rocplot_sensitivity_specificityplot_xplrppvprecisionprod_ppv_npvprod_sens_specrecallrisk_ratiorocroc01sens_constrainsensitivityspec_constrainspecificitysum_ppv_npvsum_sens_spectntnrtotal_utilitytptpryouden
Dependencies:clicodetoolscolorspacecpp11dplyrfansifarverforeachgenericsggplot2gluegridExtragtableisobanditeratorslabelinglatticelifecyclemagrittrMASSMatrixmgcvmunsellnlmepillarpkgconfigpurrrR6RColorBrewerRcpprlangscalesstringistringrtibbletidyrtidyselectutf8vctrsviridisLitewithr
An introduction to cutpointr
Rendered fromcutpointr.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-04-13
Started: 2017-04-07
cutpointr: Bootstrapping
Rendered fromcutpointr_bootstrapping.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-04-13
Started: 2022-01-18
cutpointr benchmarks
Rendered fromcutpointr_benchmarks.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-04-13
Started: 2022-01-18
Plotting with cutpointr
Rendered fromcutpointr_plotting.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-04-13
Started: 2022-01-18
Robust cutpoint estimation
Rendered fromcutpointr_estimation.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-01-18
Started: 2022-01-18
ROC curves with cutpointr
Rendered fromcutpointr_roc.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-04-13
Started: 2022-01-18
User-defined functions for estimation methods and metrics
Rendered fromcutpointr_user_functions.Rmd
usingknitr::rmarkdown
on Nov 19 2024.Last update: 2022-04-13
Started: 2022-01-18