fitted: Fitted Matrix in NMF Models
In renozao/NMF: Algorithms and Framework for Nonnegative Matrix Factorization (NMF)

Description Usage Arguments Details Value Methods (by generic)

Computes the estimated target matrix based on a given NMF model. The estimation depends on the underlying NMF model. For example in the standard model V ~ W H, the target matrix is estimated by the matrix product W H. In other models, the estimate may depend on extra parameters/matrix (cf. Non-smooth NMF in NMFns-class).

1	fitted(object, ...)

`object`	an object that inherit from class NMF
`...`	extra arguments to allow extension

This function is a S4 generic function imported from stats::fitted in the package stats. It is implemented as a pure virtual method for objects of class NMF, meaning that concrete NMF models must provide a definition for their corresponding class (i.e. sub-classes of class NMF). See NMF for more details.

the target matrix estimate as fitted by the model object

fitted(object = NMF): Pure virtual method for objects of class NMF, that should be overloaded by sub-classes, and throws an error if called.
fitted(object = NMFstd): Compute the target matrix estimate in standard NMF models.

The estimate matrix is computed as the product of the two matrix slots W and H:

V ~ W H
fitted(object = NMFOffset): Computes the target matrix estimate for an NMFOffset object.

The estimate is computed as:

W H + offset
fitted(object = NMFns): Compute estimate for an NMFns object, according to the Nonsmooth NMF model (cf. NMFns-class).

Extra arguments in ... are passed to method smoothing, and are typically used to pass a value for theta, which is used to compute the smoothing matrix instead of the one stored in object.
fitted(object = NMFfit): Computes and return the estimated target matrix from an NMF model fitted with function nmf.

It is a shortcut for fitted(fit(object), ...), dispatching the call to the fitted method of the actual NMF model.