Subroutine called by GeoFit. The procedure estimates the model parameters by maximisation of the indipendence composite log-likelihood.
CompIndLik2(bivariate, coordx, coordy ,coordz,coordt,
coordx_dyn, data, flagcorr, flagnuis, fixed,grid,
lower, model, n, namescorr, namesnuis,
namesparam,
numparam, optimizer, onlyvar, parallel,
param, spacetime, type,
upper, namesupper, varest, ns, X,
sensitivity,copula,MM)Return a list from an optim call.
Logical; if TRUE then the data come froma a bivariate random field.
Otherwise from a univariate random field.
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.
A numeric vector giving 1-dimension of
spatial coordinates; Optional argument, the default is NULL.
A numeric vector giving 1-dimension of
spatial coordinates; Optional argument, the default is NULL.
A numeric vector assigning 1-dimension of
temporal coordinates. Optional argument, the default is NULL
then a spatial random field is expected.
A list of \(m\) numeric (\(d_t \times 2\))-matrices
containing dynamical (in time) spatial coordinates. Optional argument, the default is NULL
A numeric vector or a (\(n \times d\))-matrix or (\(d \times d \times n\))-matrix of observations.
A numeric vector of binary values denoting which paramerters of the correlation function will be estimated.
A numeric vector of binary values denoting which nuisance paramerters will be estimated.
A numeric vector of parameters that will be considered as known values.
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.
An optional named list giving the values for the lower bound of the space parameter
when the optimizer is L-BFGS-B or nlminb or optimize. The
names of the list must be the same of the names in the start list.
Numeric; the id value of the density associated to the likelihood objects.
Numeric; number of trials in a binomial random fields.
String; the names of the correlation parameters.
String; the names of the nuisance parameters.
String; the names of the parameters to be maximised.
Numeric; the number of parameters to be maximised.
String; the optimization algorithm
(see optim for details). Nelder-Mead is the
default. Other possible choices are nlm, BFGS L-BFGS-B and nlminb.
In these last two cases upper and lower bounds can be passed by the user. In the case
of one-dimensional optimization, the function optimize is used.
Logical; if TRUE (and varest is TRUE) only
the variance covariance matrix is computed
without optimizing. FALSE is the default.
Logical; if TRUE optmization is performed using optimParallel
using the maximum number of cores, when optimizer is
L-BFGS-B.FALSE is the default.
A numeric vector of parameters values.
Logical; if TRUE the random field is spatial-temporal otherwise is a spatial field.
String; the type of the likelihood objects. If Pairwise (the
default) then the marginal composite likelihood is formed by pairwise marginal likelihoods.
An optional named list giving the values for the upper bound
of the space parameter when the optimizer is or L-BFGS-B or nlminb or optimize.
The names of the list must be the same of the names in the start list.
String; the names of the upper limit of the parameters.
Logical; if TRUE the estimate variances and standard errors are returned.
FALSE is the default.
Numeric; Number of (dynamical) temporal instants.
Numeric; Matrix of space-time covariates in the linear mean specification.
Logical; if TRUE then the sensitivy matrix is computed
String; the type of copula. It can be "Clayton" or "Gaussian"
Numeric;a non constant fixed mean
Moreno Bevilacqua, moreno.bevilacqua89@gmail.com,https://sites.google.com/view/moreno-bevilacqua/home, Víctor Morales Oñate, victor.morales@uv.cl, https://sites.google.com/site/moralesonatevictor/, Christian", Caamaño-Carrillo, chcaaman@ubiobio.cl,https://www.researchgate.net/profile/Christian-Caamano
GeoFit