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:
ClinicalUtilityRecal_0.1.0.tar.gz
ClinicalUtilityRecal_0.1.0.zip(r-4.5)ClinicalUtilityRecal_0.1.0.zip(r-4.4)ClinicalUtilityRecal_0.1.0.zip(r-4.3)
ClinicalUtilityRecal_0.1.0.tgz(r-4.4-any)ClinicalUtilityRecal_0.1.0.tgz(r-4.3-any)
ClinicalUtilityRecal_0.1.0.tar.gz(r-4.5-noble)ClinicalUtilityRecal_0.1.0.tar.gz(r-4.4-noble)
ClinicalUtilityRecal_0.1.0.tgz(r-4.4-emscripten)ClinicalUtilityRecal_0.1.0.tgz(r-4.3-emscripten)
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')) |
- fakeData - Dataset for Recalibration Purposes
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 5 years agofrom:c3bc634a59. Checks:OK: 3 NOTE: 4. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 10 2024 |
| R-4.5-win | NOTE | Nov 10 2024 |
| R-4.5-linux | NOTE | Nov 10 2024 |
| R-4.4-win | NOTE | Nov 10 2024 |
| R-4.4-mac | NOTE | Nov 10 2024 |
| R-4.3-win | OK | Nov 10 2024 |
| R-4.3-mac | OK | Nov 10 2024 |
Exports:calCurvPlotcalWtconstRecalcvRepWtTuningcvWtTuningnbRAWgridsnbRecalPlotstdRecalwtRecal
Dependencies:caretclasscliclockcodetoolscolorspacecowplotcpp11data.tablediagramdigestdplyre1071fansifarverforeachfuturefuture.applygenericsggplot2globalsgluegowergtablehardhatipredisobanditeratorsKernSmoothlabelinglatticelavalifecyclelistenvlubridatemagrittrMASSMatrixmgcvModelMetricsmunsellnlmenloptrnnetnumDerivparallellypillarpkgconfigplyrpROCprodlimprogressrproxypurrrR6RColorBrewerRcpprecipesreshape2rlangrpartscalesshapeSQUAREMstringistringrsurvivaltibbletidyrtidyselecttimechangetimeDatetzdbutf8vctrsviridisLitewithr
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Calibration Curve Plot | calCurvPlot |
| Calibration Weights | calWt |
| Constrained Logistic Recalibration | constRecal |
| Repeated Cross Validation for Weight Tuning Parameter Selection | cvRepWtTuning |
| Cross-validation for Selecting Weight Tuning Parameter | cvWtTuning |
| Dataset for Recalibration Purposes | fakeData |
| Net Benefit | nb |
| RAW grid for Cross Validation | RAWgrid |
| Plot of Potential sNB Under Recalibration | snbRecalPlot |
| Standard Logistic Recalibration | stdRecal |
| Weighted Logistic Recalibration | wtRecal |
