Stratified Evaluation of Subgroup Classification Accuracy
cases package
Categorize continuous values
Compare predictions and labels
Create an AR(1) correlation matrix
Create an equicorrelation matrix
Define a contrast (matrix) to specify exact hypothesis system
Generate binary data (LFC model)
Sample binary data (single sample)
Generate binary data (ROC model)
Generate binary data
Evaluate the accuracy of multiple (candidate) classifiers in several s...
Generate data sets under least favorable parameter configurations
Generate data sets under realistic parameter configurations
Pipe operator
Analyze simulated synthetic datasets.
Visualize evaluation results
Enables simultaneous statistical inference for the accuracy of multiple classifiers in multiple subgroups (strata). For instance, allows to perform multiple comparisons in diagnostic accuracy studies with co-primary endpoints sensitivity and specificity (Westphal M, Zapf A. Statistical inference for diagnostic test accuracy studies with multiple comparisons. Statistical Methods in Medical Research. 2024;0(0). <doi:10.1177/09622802241236933>).
Useful links