Description Usage Arguments Acknowledgements Author(s) See Also
Subroutine called by the fitting procedures. The procedure initializes the parameters for the fitting procedure.
1 2 3 4 5 
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.