Fitted Matrix in NMF Models
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).
fitted(object, ...)
## S4 method for signature 'NMFstd'
fitted(object, W, H, ...)
## S4 method for signature 'NMFOffset'
fitted(object, W, H,
offset = object@offset)
## S4 method for signature 'NMFns'
fitted(object, W, H, S, ...)object |
an object that inherit from class
|
... |
extra arguments to allow extension |
W |
a matrix to use in the computation as the basis
matrix in place of |
H |
a matrix to use in the computation as the
coefficient matrix in place of |
offset |
offset vector |
S |
smoothing matrix to use instead of
|
the target matrix estimate as fitted by the model
object
signature(object = "NMF"): Pure
virtual method for objects of class
NMF, that should be overloaded by
sub-classes, and throws an error if called.
signature(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
signature(object = "NMFOffset"):
Computes the target matrix estimate for an NMFOffset
object.
The estimate is computed as:
W H + offset
signature(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.
signature(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.
# random standard NMF model x <- rnmf(3, 10, 5) all.equal(fitted(x), basis(x) %*% coef(x))
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