STOPS version of Box Cox Stress
stop_bcmds(
dis,
theta = c(1, 1, 0),
type = "ratio",
weightmat = NULL,
init = NULL,
ndim = 2,
itmaxi = 5000,
...,
stressweight = 1,
structures = c("cclusteredness", "clinearity", "cdependence", "cmanifoldness",
"cassociation", "cnonmonotonicity", "cfunctionality", "ccomplexity", "cfaithfulness",
"cregularity", "chierarchy", "cconvexity", "cstriatedness", "coutlying",
"cskinniness", "csparsity", "cstringiness", "cclumpiness", "cinequality"),
strucweight = rep(1/length(structures), length(structures)),
strucpars,
verbose = 0,
stoptype = c("additive", "multiplicative"),
registry = struc_reg
)A list with the components
stress: the stress-1
stress.m: default normalized stress
stoploss: the weighted loss value
struc: the structuredness indices
parameters: the parameters used for fitting (kappa, lambda)
fit: the returned object of the fitting procedure
stopobj: the stopobj object
numeric matrix or dist object of a matrix of proximities
the theta vector of powers; the first is mu (for the fitted distances), the second lambda (for the proximities), the third nu (for the weights). If a scalar is given it is recycled. Defaults to 1 1 0.
MDS type. Is ignored here.
(not used)
(optional) initial configuration
number of dimensions of the target space
number of iterations
additional arguments to be passed to the fitting procedure
weight to be used for the fit measure; defaults to 1
which structures to look for
weight to be used for the structures; defaults to 0.5
a list of parameters for the structuredness indices; each list element corresponds to one index in the order of the appeacrance in structures
numeric value hat prints information on the fitting process; >2 is extremely verbose
which weighting to be used in the multi-objective optimization? Either 'additive' (default) or 'multiplicative'.
registry object with c-structuredness indices.