Package: ClinicalUtilityRecal 0.1.0

ClinicalUtilityRecal: Recalibration Methods for Improved Clinical Utility of Risk Scores

Recalibrate risk scores (predicting binary outcomes) to improve clinical utility of risk score using weighted logistic or constrained logistic recalibration methods. Additionally, produces plots to assess the potential for recalibration to improve the clinical utility of a risk model. Methods are described in detail in Mishra, A. (2019) "Methods for Risk Markers that Incorporate Clinical Utility" <http://hdl.handle.net/1773/44068>.

Authors:Anu Mishra

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ClinicalUtilityRecal.pdf |ClinicalUtilityRecal.html
ClinicalUtilityRecal/json (API)

# Install 'ClinicalUtilityRecal' in R:
install.packages('ClinicalUtilityRecal', repos = c('https://anumishra.r-universe.dev', 'https://cloud.r-project.org'))
Datasets:
  • fakeData - Dataset for Recalibration Purposes

On CRAN:

Conda:

This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.

1.00 score 224 downloads 10 exports 78 dependencies

Last updated 5 years agofrom:c3bc634a59. Checks:3 OK, 6 NOTE. Indexed: yes.

TargetResultLatest binary
Doc / VignettesOKMar 10 2025
R-4.5-winNOTEMar 10 2025
R-4.5-macNOTEMar 10 2025
R-4.5-linuxNOTEMar 10 2025
R-4.4-winNOTEMar 10 2025
R-4.4-macNOTEMar 10 2025
R-4.4-linuxNOTEMar 10 2025
R-4.3-winOKMar 10 2025
R-4.3-macOKMar 10 2025

Exports:calCurvPlotcalWtconstRecalcvRepWtTuningcvWtTuningnbRAWgridsnbRecalPlotstdRecalwtRecal

Dependencies:caretclasscliclockcodetoolscolorspacecowplotcpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmenloptrnnetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapesparsevctrsSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr