summary.nmf.sem: Summary method for nmf.sem objects

In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates

Summary method for nmf.sem objects

Description

Produces a formatted summary of a fitted NMF-FFB 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.ffb" (or legacy "nmf.sem") returned by nmf.ffb / nmf.sem.
...	Not used.

Value

An object of class "summary.nmf.sem" (the fitted model tagged for printing); printed by print.summary.nmf.sem.

See Also

nmf.ffb, nmf.ffb.inference

Examples

Y <- t(iris[, -5])
Y1 <- Y[1:2, ]; Y2 <- Y[3:4, ]
result <- nmf.ffb(Y1, Y2, rank = 2, maxit = 500)
summary(result)

nmfkc documentation built on July 14, 2026, 1:07 a.m.