WlsInit {CompRandFld}  R Documentation 
Subroutine called by FitComposite. The function returns opportune starting values for the compositelikelihood fitting procedure based on weigthed least squares.
WlsInit(coordx, coordy, coordt, corrmodel, data, distance, fcall, fixed, grid, likelihood, margins, maxdist, maxtime, model, numblock, param, parscale, paramrange, replicates, start, taper, tapsep, threshold, type, varest, vartype, weighted, winconst, winstp)
coordx 
A numeric (d x 2)matrix (where

coordy 
A numeric vector assigning 1dimension of
coordinates; 
coordt 
A numeric vector assigning 1dimension of temporal coordinates. 
corrmodel 
String; the name of a correlation model, for the description. 
data 
A numeric vector or a (n x d)matrix or (d x d x n)matrix of observations. 
distance 
String; the name of the spatial distance. The default is 
fcall 
String; "fitting" to call the fitting procedure and "simulation" to call the simulation procedure. 
fixed 
A named list giving the values of the parameters that will be considered as known values. 
grid 
Logical; if 
likelihood 
String; the configuration of the composite likelihood. 
margins 
String; the type of the marginal distribution of the maxstable field. 
maxdist 
Numeric; an optional positive value indicating the maximum spatial distance considered in the compositelikelihood computation. 
maxtime 
Numeric; an optional positive value indicating the maximum temporal separation considered in the compositelikelihood computation. 
model 
String; the name of the model. Here the default is

numblock 
Numeric; the observation size of the underlying random field. Only in case of maxstable random fields and in the simulation. 
param 
A numeric vector of parameter values required in the simulation procedure of random fields. 
parscale 
A numeric vector with scaling values for improving the maximisation routine. 
paramrange 
A numeric vector with the range of the parameter space. 
replicates 
Logical; if 
start 
A numeric vector with starting values. 
taper 
String; the name of the type of covariance matrix.
It can be 
tapsep 
Numeric; an optional value indicating the separabe parameter in the space time quasi taper (see Details). 
threshold 
Numeric; a value indicating a threshold for the binary random field. 
type 
String; the type of estimation method. 
varest 
Logical; if 
vartype 
String; the type of estimation method for computing the estimate variances, see the Section Details. 
weighted 
Logical; if 
winconst 
Numeric; a positive real value indicating the window size used from the subsampling method for the estimation of the parameters variances. 
.
winstp 
Numeric; a value in (0,1] for defining the window
step. See 
Simone Padoan, simone.padoan@unibocconi.it, http://faculty.unibocconi.it/simonepadoan; Moreno Bevilacqua, moreno.bevilacqua@uv.cl, https://sites.google.com/a/uv.cl/morenobevilacqua/home.