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Produces a formatted summary of a fitted NMF-SEM model, including matrix dimensions, convergence, stability diagnostics, fit statistics, and inference results (if available).

Usage

# S3 method for class 'nmf.sem'
summary(object, ...)

Arguments

object

An object of class "nmf.sem" returned by nmf.sem.

...

Not used.

Value

Invisible object.

Examples

Y <- t(iris[, -5])
Y1 <- Y[1:2, ]; Y2 <- Y[3:4, ]
result <- nmf.sem(Y1, Y2, rank = 2, maxit = 500)
summary(result)
#> NMF-SEM: Y1(2,N) = X(2,2) [C1(2,2) Y1 + C2(2,2) Y2]
#> Iterations: 500
#> 
#> Stability diagnostics:
#>   Spectral radius(XC1): 0.9834 (stable)
#>   ||XC1||_1:            1.2699
#>   Amplification:        15.6045 (bound: Inf)
#> 
#> Fit statistics:
#>   SC.cov (covariance correlation): 0.9997
#>   MAE (mean absolute error):       1.6924