ci_clus_vus {ClusROC} | R Documentation |
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 |
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. |