CheckInput: Checking Input
In CompRandFld: Composite-Likelihood Based Analysis of Random Fields

Description Usage Arguments Author(s) See Also

Subroutine called by the fitting procedures. The procedure controls the the validity of the input inserted by the users.

CheckInput(coordx, coordy, coordt, corrmodel, data, distance,
           fcall, fixed, grid, likelihood, margins, maxdist,
           maxtime, model, numblock, optimizer, param, replicates,
           start, taper, tapsep, threshold, type, varest, vartype,
           weighted)

`coordx`	A numeric (d x 2)-matrix (where `d` is the number of points) assigning 2-dimensions of coordinates or a numeric vector assigning 1-dimension of coordinates.
`coordy`	A numeric vector assigning 1-dimension of coordinates; `coordy` is interpreted only if `coordx` is a numeric vector otherwise it will be ignored.
`coordt`	A numeric vector assigning 1-dimension of temporal coordinates.
`corrmodel`	String; the name of a correlation model, for the description see `FitComposite`.
`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 `Eucl`, the euclidean distance. See the Section Details.
`fcall`	String; `Fitting` to call the fitting procedure and `simulation` to call the simulation.
`fixed`	A named list giving the values of the parameters that will be considered as known values. The listed parameters for a given correlation function will be not estimated, i.e. if `list(nugget=0)` the nugget effect is ignored.
`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.
`likelihood`	String; the configuration of the composite likelihood. `Marginal` is the default.
`margins`	String; the type of the marginal distribution of the max-stable field.
`maxdist`	Numeric; an optional positive value indicating the maximum spatial distance considered in the composite-likelihood computation.
`maxtime`	Numeric; an optional positive value indicating the maximum temporal lag separation in the composite-likelihood.
`model`	String; the density associated to the likelihood objects. `Gaussian` is the default.
`numblock`	Numeric; the number of observation of the underlying randfom field (only for max-stable simulations). See `RFsim`.
`optimizer`	String; the optimization algorithm (see `optim` for details). 'Nelder-Mead' is the default.
`param`	A numeric vector of parameters, needed only in simulation. See `RFsim`.
`replicates`	Logical; if `FALSE` (the default) one spatial random field is considered, instead if `TRUE` the data are considered as iid replicates of a field.
`start`	A named list with the initial values of the parameters that are used by the numerical routines in maximization procedure. `NULL` is the default.
`taper`	String; the name of the tapered correlation function.
`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 the likelihood objects. If `Pairwise` (the default) then the marginal composite likelihood is formed by pairwise marginal likelihoods.
`varest`	Logical; if `TRUE` the estimate' variances and standard errors are returned. `FALSE` is the default.
`vartype`	String; the type of estimation method for computing the estimate variances, see `FitComposite`.
`weighted`	Logical; if `TRUE` the likelihood objects are weighted. If `FALSE` (the default) the composite likelihood is not weighted.