degenScore: degenScore
In CMTFtoolbox: Create (Advanced) Coupled Matrix and Tensor Factorization Models
degenScore R Documentation
degenScore
Description
Computes the maximum absolute off-diagonal Tucker congruence coefficient
between subject-mode components in an ACMTF model. This metric serves as a
diagnostic tool to detect potential degeneracy in the subject-mode loadings.
Usage
degenScore(A)
Arguments
A
A numeric matrix of subject-mode loadings (dimensions: subjects x components).
Details
A high degenScore (e.g., > 0.85) indicates that two or more components
in the subject mode are highly similar, suggesting a possible degeneracy or
lack of uniqueness. A low value (e.g., < 0.3) indicates well-separated components.
Value
A numeric scalar representing the maximum absolute off-diagonal
Tucker congruence between components.
Examples
# Example: Compute degenScore for a random loading matrix
A <- matrix(rnorm(100), nrow = 10, ncol = 10)
degenScore(A)
CMTFtoolbox documentation built on Aug. 23, 2025, 1:11 a.m.
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| degenScore | R Documentation |
degenScore
Description
Computes the maximum absolute off-diagonal Tucker congruence coefficient between subject-mode components in an ACMTF model. This metric serves as a diagnostic tool to detect potential degeneracy in the subject-mode loadings.
Usage
degenScore(A)
Arguments
A |
A numeric matrix of subject-mode loadings (dimensions: subjects x components). |
Details
A high degenScore (e.g., > 0.85) indicates that two or more components
in the subject mode are highly similar, suggesting a possible degeneracy or
lack of uniqueness. A low value (e.g., < 0.3) indicates well-separated components.
Value
A numeric scalar representing the maximum absolute off-diagonal Tucker congruence between components.
Examples
# Example: Compute degenScore for a random loading matrix
A <- matrix(rnorm(100), nrow = 10, ncol = 10)
degenScore(A)
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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