summary.nmfae: Summary method for nmfae objects

In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates

Summary method for nmfae objects

Description

summary.nmfae produces a summary of a fitted NMF-AE model, including dimensions, convergence status, goodness-of-fit statistics, and structure diagnostics (sparsity of factor matrices).

Usage

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

Arguments

object	An object of class "nmfae" returned by nmfae.
...	Additional arguments (currently unused).

Value

An object of class "summary.nmfae", a list with components:

call	The matched call.
dims	Named vector c(P1, P2, N).
Q	Decoder rank.
R	Encoder rank.
n.params	Total number of parameters (P1Q + QR + R*P2).
autoencoder	Logical; TRUE if P1 == P2 and Y1 was used as Y2.
niter	Number of iterations.
runtime	Elapsed time.
objfunc	Final objective value.
r.squared	R-squared.
sigma	Residual standard error (RMSE).
mae	Mean absolute error.
n.missing	Number of missing elements.
prop.missing	Percentage of missing elements.
X1.sparsity	Proportion of near-zero elements in X1.
C.sparsity	Proportion of near-zero elements in C.
X2.sparsity	Proportion of near-zero elements in X2.

See Also

nmfae, print.summary.nmfae

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