nmf.rrr.signed.inference: Statistical Inference for Signed-Bottleneck NMF-AE Signed...

In nmfkc: Non-Negative Matrix Factorization with Kernel Covariates

Statistical Inference for Signed-Bottleneck NMF-AE Signed Bottleneck

Description

Post-estimation inference for the signed bottleneck \Theta = C_{+} - C_{-} in the Signed-Bottleneck NMF-AE model Y_1 \approx X_1 \Theta X_2 Y_2, conditional on (\hat X_1, \hat X_2). Uses sandwich covariance and wild bootstrap without the non-negativity projection that nmfae.inference applies (because \Theta is unconstrained in sign here).

Usage

nmf.rrr.signed.inference(object, Y1, Y2 = Y1, wild.bootstrap = TRUE, ...)

Arguments

object	A fitted "nmfae.signed" object.
Y1	Output matrix used during fitting.
Y2	Input matrix used during fitting. Default Y1.
wild.bootstrap	Logical. Default TRUE.
...	Additional arguments: wild.B Bootstrap replicates. Default 500. wild.seed RNG seed. Default 123. wild.level CI confidence level. Default 0.95. sandwich Use sandwich covariance. Default TRUE. C.p.side P-value type: "two.sided" (default for Signed-Bottleneck NMF-AE) or "one.sided". cov.ridge Ridge stabilization. Default 1e-8. print.trace Logical. Default FALSE.

Value

An object of class c("nmfae.signed.inference", "nmfae.inference", "nmfae.signed", "nmfae", "nmf") with added fields:

sigma2.used	Estimated \sigma^2.
C.se, C.se.boot	Sandwich / bootstrap SEs for \Theta (Q x R).
C.ci.lower, C.ci.upper	Bootstrap CIs.
coefficients	Data frame with Estimate, SE, BSE, z, p-value, CI.
C.p.side	P-value side used.

Lifecycle

This function is experimental. The interface may change in future versions.

References

Ding, C. H. Q., Li, T., & Jordan, M. I. (2010). Convex and semi-nonnegative matrix factorizations. IEEE Transactions on Pattern Analysis and Machine Intelligence, 32(1), 45–55.

See Also

nmfae.signed, nmfae.inference

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