StartParam: Initializes the Parameters for Estimation Procedures
In GeoModels: Procedures for Gaussian and Non Gaussian Geostatistical (Large) Data Analysis

StartParam

R Documentation

Initializes the Parameters for Estimation Procedures

Description

Subroutine called by the fitting procedures. The procedure initializes the parameters for the fitting procedure.

Usage





StartParam(coordx, coordy,coordz ,coordt,coordx_dyn, corrmodel, data, distance, fcall,
                      fixed, grid,likelihood,  maxdist, neighb,maxtime, model, n, 
                      param, parscale,paramrange, radius, start, taper, tapsep, 
                      type,typereal,  weighted,copula, X,memdist,nosym)

Arguments

`coordx`	A numeric (`d \times 2`)-matrix or (`d \times 3`)-matrix Coordinates on a sphere for a fixed radius `radius` are passed in lon/lat format expressed in decimal degrees.
`coordy`	A numeric vector giving 1-dimension of spatial coordinates; Optional argument, the default is `NULL`.
`coordz`	A numeric vector giving 1-dimension of spatial coordinates; Optional argument, the default is `NULL`.
`coordt`	A numeric vector assigning 1-dimension of temporal coordinates.
`coordx_dyn`	A list of `m` numeric (`d_t \times 2`)-matrices containing dynamical (in time) spatial coordinates. Optional argument, the default is `NULL`
`corrmodel`	String; the name of a correlation model.
`data`	A numeric vector or a (`n \times d`)-matrix or (`d \times d \times n`)-matrix of observations.
`distance`	String; the name of the spatial distance. The default is `Eucl`, the euclidean distance. See the Section Details.
`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 `FALSE` (the default) the data are interpreted as a vector or a (`n \times d`)-matrix, instead if `TRUE` then (`d \times d \times n`)-matrix is considered.
`likelihood`	String; the configuration of the composite likelihood.
`maxdist`	Numeric; an optional positive value indicating the maximum spatial distance considered in the composite-likelihood computation.
`neighb`	Numeric; an optional positive integer indicating the order of neighborhood in the composite likelihood computation. See the Section Details for more information.
`maxtime`	Numeric; an optional positive value indicating the maximum temporal lag considered in the composite-likelihood computation.
`radius`	Numeric; the radius of the sphere in the case of lon-lat coordinates. The default is 6371, the radius of the earth.
`model`	String; the density associated to the likelihood objects. `Gaussian` is the default.
`n`	Numeric; number of trials for binomial random fields.
`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 `optim`.
`paramrange`	A numeric vector of parameters ranges, see `optim`.
`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 `Standard` (the default value) or `Tapering` for taperd covariance matrix.
`tapsep`	Numeric; an optional value indicating the separabe parameter in the space time adaptive taper (see Details).
`type`	String; the type of likelihood objects. Temporary value set to be "WLeastSquare" (weigthed least-square) in order to compute the starting values.
`typereal`	String; the real type of likelihood objects. See `GeoFit`.
`weighted`	Logical; if `TRUE` the likelihood objects are weighted, see `GeoFit`.
`copula`	The type of copula.
`X`	Numeric; Matrix of space-time covariates.
`memdist`	Logical; if `TRUE` then the distances in the composite likelihood are computed before the optmization.
`nosym`	Logical; if TRUE two simmetric weights are not considered