FPR: False Positive Rate (TPR)

In ccar3: Canonical Correlation Analysis via Reduced Rank Regression

False Positive Rate (TPR)

Description

This is a function that compares the structure of two matrices A and B. It outputs the number of entries where A is not zero but Bis. A and B need to have the same number of rows and columns

Usage

FPR(A, B, tol = 1e-04)

Arguments

A	A matrix.
B	A matrix (assumed to be the ground truth).
tol	tolerance for declaring the entries non zero.

Value

False Positive Rate (nb of values that are non zero in A and zero in B / (nb of values that are non zero in A))

Examples

A <- matrix(c(1, 0, 0, 1, 1, 0), nrow = 2)
B <- matrix(c(1, 0, 1, 1, 0, 0), nrow = 2)
FPR(A, B)  

ccar3 documentation built on Sept. 16, 2025, 9:11 a.m.