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DESCRIPTION
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DESCRIPTION
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Package: adjROC
Type: Package
Title: Computing Sensitivity at a Fix Value of Specificity and Vice Versa as Well as
Bootstrap Metrics for ROC Curves
Version: 0.4
Author: E. F. Haghish
Maintainer: E. F. Haghish <haghish@hotmail.com>
Description:
This software assesses the receiver operating characteristic (ROC) curve at
adjusted thresholds, enabling the comparison of sensitivity and specificity
across multiple binary classification models. Instead of comparing different
models with varied cutoff values in their risk thresholds, all models can be
compared at a fixed threshold of sensitivity, a fixed threshold of specificity,
or the crossing point between sensitivity and specificity. If a threshold for
specificity is given (e.g., specificity = 0.9), sensitivity and its confidence
interval are computed, and vice versa. If the threshold for either sensitivity
or specificity is not provided, the crossing point between the sensitivity and
specificity curves is returned, along with their confidence intervals. For
bootstrap procedures, the software evaluates the mean and CI bootstrap values
for sensitivity, specificity, and the crossing point between specificity and
sensitivity. This allows users to discern whether the performance of a model
(based on adjusted sensitivity or adjusted specificity) is significantly different
from other models. This software addresses the issue of comparing different
classification models with varying predefined cutoff thresholds, which often
leads to inconclusive results due to the fluctuating values of both sensitivity
and specificity.
License: MIT + file LICENSE
Imports: ROCit, ggplot2, boot, yardstick, boot.pval
Encoding: UTF-8
RoxygenNote: 7.3.1
URL: https://github.com/haghish/adjROC, https://www.sv.uio.no/psi/english/people/aca/haghish/
BugReports: https://github.com/haghish/adjROC/issues