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

In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates

Summary method for nmf.ffb 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). For nmf.ffb(method = "fiml") objects the fit statistics are the log-likelihoods, parameter counts and BIC of the feed-forward null, the unpenalized feedback fit and the BIC-selected model, the two likelihood-ratio statistics, and – after nmf.ffb.inference – their bootstrap p-values and the false-selection rate under the null.

Usage

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

Arguments

object	An object of class "nmf.ffb" returned by nmf.ffb.
...	Not used.

Value

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

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 Oct. 30, 2026, 9:06 a.m.