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The return value of an HLCor or an HLfit call, with additional attributes. The HLCor call is evaluated at the estimated correlation parameter values. These values are included in the return object as its $corrPars member. The attributes added by fitme include the original call of the function (which can be retrived by getCall(), and information about the optimization call within fitme.

initAn optional list of initial values for correlation and/or dispersion parameters and/or response family parameters, e.g. list(rho=1,nu=1,lambda=1,phi=1) where rho and nu are parameters of the Matrn family (see Matern), and lambda and phi are dispersion parameters (see Details in spaMM for the meaning of these parameters). All are optional, but giving values for a dispersion parameter changes the ways it is estimated (see Details and Examples).rho may be a vector (see make_scaled_dist) and, in that case, it is possible that some or all of its elements are NA, for which fitme substitutes automatically determined values.

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...Optional arguments passed to (or operating as if passed to) HLCor, HLfit or mat_sqrt, for example rand.family, control.HLfit , verbose or the distMatrix argument of HLCor (so that estimation of Matern or Cauchy parameters can be combined with use of an ad hoc distance matrix). In a fitme call, the verbose vector of booleans may include a TRACE=TRUE element, in which case information is displayed for each set of correlation and dispersion parameter values considered by the optimiser (see verbose for further information, mostly useless except for development purposes).

For phi, lambda, and ranCoefs, fitme may or may not use the internal fitting methods of HLfit. The latter methods are well suited for structured dispersion models, but require computations which can be slow for large datasets. Therefore, fitme tends to outer-optimize by default for large datasets, unless there is a non-trivial resid.model. The precise criteria for selection of default method by fitme are liable to future changes. 006ab0faaa