tskrrImputeHomogeneous-class {xnet} | R Documentation |
Class tskrrImputeHomogeneous
Description
The class tskrrImputeHomogeneous
is a subclass of the
class tskrrHomogeneous
and
tskrrImpute
specifically for homogeneous networks with imputed values. It is
the result of the function impute_tskrr
on a
homogeneous network model.
Slots
y
the matrix with responses
k
the eigen decomposition of the kernel matrix for the rows
lambda.k
the lambda value used for k
pred
the matrix with the predictions
symmetry
a character value that can have the possible values
"symmetric"
,"skewed"
or"not"
. It indicates whether they
matrix is symmetric, skewed-symmetric or not symmetric.has.hat
a logical value indicating whether the kernel hat matrices are stored in the object.
Hk
the kernel hat matrix for the rows.
labels
a list with elements
k
andg
(seetskrr-class
). For homogeneous networks,g
is alwaysNA
. Ifk
isNA
, the labels used are integers indicating the row resp column number.imputeid
a vector with integer values indicating which of the values in
y
are imputedniter
an integer value gving the number of iterations used
tol
a numeric value with the tolerance used