computeFMS: Compute Factor Match Score for two models.

In CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models

Compute Factor Match Score for two models.

Description

Compute Factor Match Score for two models.

Usage

computeFMS(Fac1, Fac2, modes)

Arguments

Fac1	A list of matrices corresponding to found components per mode in model 1.
Fac2	A list of matrices corresponding to found components per mode in model 2.
modes	List of modes per dataset.

Value

Vector of FMS scores, one per dataset.

Examples

A = array(rnorm(108*2), c(108, 2))
B = array(rnorm(100*2), c(100, 2))
C = array(rnorm(10*2), c(10, 2))
D = array(rnorm(100*2), c(100, 2))
E = array(rnorm(10*2), c(10, 2))

Fac1 = list(A,B,C,D,E)
Fac2 = Fac1 # identical models for the purposes of demonstration
modes = list(c(1,2,3), c(1,4,5))
FMS_result = computeFMS(Fac1, Fac2, modes) # FMS_result = c(1,1)

CMTFtoolbox documentation built on Aug. 23, 2025, 1:11 a.m.