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.
ythe matrix with responses
kthe eigen decomposition of the kernel matrix for the rows
lambda.kthe lambda value used for k
predthe matrix with the predictions
symmetrya character value that can have the possible values
"symmetric", "skewed" or "not". It indicates
whether the y matrix is symmetric, skewed-symmetric or not
symmetric.
has.hata logical value indicating whether the kernel hat matrices are stored in the object.
Hkthe kernel hat matrix for the rows.
labelsa list with elements k and g (see
tskrr-class). For homogeneous networks, g
is always NA. If k is NA, the labels used
are integers indicating the row resp column number.
imputeida vector with integer values indicating which of
the values in y are imputed
niteran integer value gving the number of iterations used
tola numeric value with the tolerance used