true_positive_rate: True Positive Rate
In sparsevar: Sparse VAR (Vector Autoregression) / VECM (Vector Error Correction Model) Estimation
true_positive_rate R Documentation
True Positive Rate
Description
Computes the True Positive Rate (Sensitivity/Recall) between a
reference matrix and an estimated matrix. TPR = TP / (TP + FN), where
positives are non-zero entries in the reference matrix.
Usage
true_positive_rate(reference_m, a)
Arguments
reference_m
the reference (ground truth) matrix
a
the estimated matrix to compare against the reference
Value
The true positive rate (between 0 and 1), or NA if there are no
actual positives in the reference matrix
sparsevar documentation built on Feb. 5, 2026, 1:07 a.m.
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| true_positive_rate | R Documentation |
True Positive Rate
Description
Computes the True Positive Rate (Sensitivity/Recall) between a reference matrix and an estimated matrix. TPR = TP / (TP + FN), where positives are non-zero entries in the reference matrix.
Usage
true_positive_rate(reference_m, a)
Arguments
reference_m |
the reference (ground truth) matrix |
a |
the estimated matrix to compare against the reference |
Value
The true positive rate (between 0 and 1), or NA if there are no actual positives 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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