conf_fnr {bvhar} | R Documentation |
Evaluate the Sparsity Estimation Based on FNR
Description
This function computes false negative rate (FNR) for sparse element of the true coefficients given threshold.
Usage
conf_fnr(x, y, ...)
## S3 method for class 'summary.bvharsp'
conf_fnr(x, y, truth_thr = 0, ...)
Arguments
x |
|
y |
True inclusion variable. |
... |
not used |
truth_thr |
Threshold value when using non-sparse true coefficient matrix. By default, |
Details
False negative rate (FNR) is computed by
FNR = \frac{FN}{TP + FN}
where TP is true positive, and FN is false negative.
Value
FNR value in confusion table
References
Bai, R., & Ghosh, M. (2018). High-dimensional multivariate posterior consistency under global–local shrinkage priors. Journal of Multivariate Analysis, 167, 157–170.
See Also
[Package bvhar version 2.0.1 Index]