true_negative_rate: True Negative Rate
In sparsevar: Sparse VAR (Vector Autoregression) / VECM (Vector Error Correction Model) Estimation
true_negative_rate R Documentation
True Negative Rate
Description
Computes the True Negative Rate (Specificity) between a
reference matrix and an estimated matrix. TNR = TN / (TN + FP), where
negatives are zero entries in the reference matrix.
Usage
true_negative_rate(reference_m, a)
Arguments
reference_m
the reference (ground truth) matrix
a
the estimated matrix to compare against the reference
Value
The true negative rate (between 0 and 1), or NA if there are no
actual negatives in the reference matrix
sparsevar documentation built on Feb. 5, 2026, 1:07 a.m.
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| true_negative_rate | R Documentation |
True Negative Rate
Description
Computes the True Negative Rate (Specificity) between a reference matrix and an estimated matrix. TNR = TN / (TN + FP), where negatives are zero entries in the reference matrix.
Usage
true_negative_rate(reference_m, a)
Arguments
reference_m |
the reference (ground truth) matrix |
a |
the estimated matrix to compare against the reference |
Value
The true negative rate (between 0 and 1), or NA if there are no actual negatives in the reference matrix
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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