Likelihood: Optimizes the Log Likelihood
In CompRandFld: Composite-Likelihood Based Analysis of Random Fields

Description Usage Arguments Author(s) See Also

Subroutine called by FitComposite. The procedure estimates the model parameters by maximization of the log-likelihood.

Likelihood(corrmodel, data, fixed, flagcor, flagnuis, grid, lower,
           model, namescorr, namesnuis, namesparam, numcoord, numpairs,
           numparamcor, numrep, numtime, optimizer, param, setup,
           spacetime, varest, taper, type, upper)

`corrmodel`	Numeric; the id of the correlation model.
`data`	A numeric vector or a (n x d)-matrix or (d x d x n)-matrix of observations.
`flagcor`	A numeric vector of flags denoting which correlation parameters have to be estimated.
`flagnuis`	A numeric verctor of flags denoting which nuisance parameters have to estimated.
`fixed`	A numeric vector of parameters that will be considered as known values.
`grid`	Logical; if `FALSE` (the default) the data are interpreted as a vector or a (n x d)-matrix, instead if `TRUE` then (d x d x n)-matrix is considered.
`lower`	A numeric vector with the lower bounds of the parameters' ranges.
`model`	Numeric; the id value of the density associated to the likelihood objects.
`namescorr`	String; the names of the correlation parameters.
`namesnuis`	String; the names of the nuisance parameters.
`namesparam`	String; the names of the parameters to be maximised.
`numcoord`	Numeric; the number of coordinates.
`numpairs`	Numeric; the number of pairs.
`numparamcor`	Numeric; the number of the correlation parameters.
`numrep`	Numeric; the number of iid replications.
`numtime`	Numeric; the number of temporal observations.
`optimizer`	String; the optimization algorithm (see `optim` for details). 'Nelder-Mead' is the default.
`param`	A numeric vector of parameters.
`setup`	A List of useful components for the estimation based on the maximum tapered likelihood.
`spacetime`	Logical; if the random field is spatial (`FALSE`) or spatio-temporal (`TRUE`).
`varest`	Logical; if `TRUE` the estimate' variances and standard errors are returned. `FALSE` is the default.
`taper`	String; the name of the taper correlation function.
`type`	String; the type of the likelihood objects. If `Pairwise` (the default) then the marginal composite likelihood is formed by pairwise marginal likelihoods.
`upper`	A numeric vector with the upper bounds of the parameters' ranges.