InitParam {CompRandFld}  R Documentation 
Subroutine called by the fitting procedures. The procedure initializes the parameters for the fitting procedure.
InitParam(coordx, coordy, coordt, corrmodel, data, distance, fcall, fixed, grid,likelihood, margins, maxdist, maxtime, model, numblock, param, parscale, paramrange, replicates, start, taper, tapsep, threshold, type, typereal, 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. 
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 lag considered in the compositelikelihood computation. 
model 
String; the density associated to the likelihood
objects. 
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 of scaling factor to improve the
maximizing procedure, see 
paramrange 
A numeric vector of parameters ranges, see

replicates 
Logical; if 
start 
A named list with the initial values of the parameters that are used by the numerical routines in maximization procedure. 
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 likelihood objects. Temporary value set to be "WLeastSquare" (weigthed leastsquare) in order to compute the starting values. 
typereal 
String; the real type of likelihood objects. See 
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
subwindow in the subsampling procedure. See 
winstp 
Numeric; a value in (0,1] for defining the window
step. See 
We thank the CRAN team for having helped us in finding a bug in the code.
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.