ci_clus_vus: Confidence Intervals for Covariate-specific VUS

In ClusROC: ROC Analysis in Three-Class Classification Problems for Clustered Data

Confidence Intervals for Covariate-specific VUS

Description

Computes confidence intervals for covariate-specific VUS.

Usage

ci_clus_vus(x, ci_level = 0.95)

Arguments

x	an object of class "VUS", a result of clus_vus call.
ci_level	a confidence level to be used for constructing the confidence interval; default is 0.95.

Details

A confidence interval for covariate-specific VUS is given based on normal approximation. If the lower bound (or the upper bound) of the confidence interval is smaller than 0 (or greater than 1), it will be set as 0 (or 1). Also, logit and probit transformations are available if one wants guarantees that confidence limits are inside (0, 1).

Value

ci_clus_vus returns an object of class inheriting from "ci_VUS" class. An object of class "ci_VUS" is a list, containing at least the following components:

ci_vus_norm	the normal approximation-based confidence interval for covariate-specific VUS.
ci_vus_log	the confidence interval for covariate-specific VUS, after using logit-transformation.
ci_vus_prob	the confidence interval for covariate-specific VUS, after using probit-transformation.
ci_level	fixed confidence level.
newdata	value(s) of covariate(s).
n_p	total numbers of the regressors in the model.

See Also

clus_vus

ClusROC documentation built on Nov. 17, 2022, 5:07 p.m.