stmc: Single-Test (Single-Reader) Multi-Case ROC Analysis

In MRMCaov: Multi-Reader Multi-Case Analysis of Variance

Single-Test (Single-Reader) Multi-Case ROC Analysis

Description

Estimation of ROC performance metrics for a single test of multiple cases.

Usage

stmc(response, case, data, cov = jackknife)

Arguments

response	response metric expressed in terms of a package-supplied performance metric.
case	optional variable of case identifiers.
data	data frame containing the response, test, reader, and case variables.
cov	function, function call, or character string naming the method to use in calculating performance metric covariances.

Value

Returns a stmc class object with the following elements.

metric

character name of the performance metric.

est

estimated mean.

se

estimated standard error.

stmc_data

data frame of case-specific ratings.

See Also

metrics, cov_methods, parameters, plot, roc_curves, summary

Examples

VanDyke11 <- subset(VanDyke, treatment == "1" & reader == "1")
est <- stmc(empirical_auc(truth, rating), data = VanDyke11)
plot(est)
summary(est)

MRMCaov documentation built on Jan. 11, 2023, 1:14 a.m.