dis: numeric matrix or dist object of a matrix of proximities
theta: the theta vector of explicit parameters; the first is kappa (for the fitted distances), the second lambda (for the observed proximities), the third nu (for the weights), the fourth tau (for the neighbourhood). If a scalar or vector shorter than 4 is given it is recycled. Defaults to 1 1 1 100.
type: MDS type.
weightmat: (optional) a matrix of nonnegative weights
init: (optional) initial configuration
ndim: number of dimensions of the target space
itmaxi: number of iterations
...: additional arguments to be passed to the fitting procedure
stressweight: weight to be used for the fit measure; defaults to 1
structures: a character vector listing the structure indices to use. They always are called "cfoo" with foo being the structure.
strucweight: weight to be used for the structures; defaults to 1/number of structures
strucpars: a list of parameters for the structuredness indices; each list element corresponds to one index in the order of the appearance in structures
verbose: numeric value hat prints information on the fitting process; >2 is extremely verbose
stoptype: which weighting to be used in the multi-objective optimization? Either 'additive' (default) or 'multiplicative'.
registry: registry object with c-structuredness indices.
Returns
A list with the components
stress: the stress-1 value
stress.m: default normalized stress
stoploss: the weighted loss value
struc: the structuredness indices
parameters: the parameters used for fitting (kappa, lambda, nu, tau)