stop_smacofSym: STOPS version of smacofSym models

In stops: Structure Optimized Proximity Scaling

STOPS version of smacofSym models

Description

The free parameter is lambda for power transformations the observed proximities. The fitted distances power is internally fixed to 1 and the power for the weights is 1.

Usage

stop_smacofSym(
  dis,
  theta = 1,
  type = "ratio",
  ndim = 2,
  weightmat = 1 - diag(nrow(dis)),
  init = NULL,
  itmaxi = 10000,
  acc = 1e-08,
  ...,
  structures = c("cclusteredness", "clinearity", "cdependence", "cmanifoldness",
    "cassociation", "cnonmonotonicity", "cfunctionality", "ccomplexity", "cfaithfulness",
    "chierarchy", "cconvexity", "cstriatedness", "coutlying", "cskinniness", "csparsity",
    "cstringiness", "cclumpiness", "cinequality"),
  stressweight = 1,
  strucweight = rep(1/length(structures), length(structures)),
  strucpars,
  verbose = 0,
  stoptype = c("additive", "multiplicative"),
  registry = struc_reg
)

Arguments

dis	numeric matrix or dist object of a matrix of proximities
theta	the theta vector; must be a scalar for the lambda (proximity) transformation. Defaults to 1.
type	MDS type. Defaults ot 'ratio'.
ndim	number of dimensions of the target space
weightmat	(optional) a matrix of nonnegative weights
init	(optional) initial configuration
itmaxi	maximum number of iterations
acc	accuracy (eps in smcacofSym), Default is 1e-8.
...	additional arguments to be passed to the fitting
structures	which structuredness indices to be included in the loss
stressweight	weight to be used for the fit measure; defaults to 1
strucweight	weight to be used for the structuredness indices; ; defaults to 1/#number of structures
strucpars	the parameters for the structuredness indices
verbose	numeric value hat prints information on the fitting process; >2 is extremely verbose
stoptype	How to construct the target function for the multi objective optimization? Either 'additive' (default) or 'multiplicative'
registry	registry object with c-structuredness indices.

Value

A list with the components

• stress: the stress-1 (sqrt(stress.m))

• stress.m: default normalized stress (used for STOPS)

• stoploss: the weighted loss value

• indices: the values of the structuredness indices

• parameters: the parameters used for fitting (lambda)

• fit: the returned object of the fitting procedure

• stopobj: the stops object

stops documentation built on July 7, 2025, 3:01 p.m.