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RandomFields (version 3.1.12)

Constants: Constants used in RandomFields (RC constants)

Description

Several constants are provided that might make the use of some functions easier, e.g. RFgetModelNames

Arguments

Value

  • RC_TYPENAMES = c("tail correlation function", "positive definite", "variogram", "negative definite", "process", "method for Gauss process", "method for Brown-Resnick process", "shifted shape function", "distribution family", "shape function", "trend", "interface", "undefined", "other type")

    RC_DOMAIN_NAMES = c("single variable", "kernel", "framework dependent", "mismatch")

    RC_ISONAMES = c("isotropic", "space-isotropic", "zero-space-isotropic", "vector-isotropic", "symmetric", "cartesian system", "earth system", "spherical system", "cylinder system", "non-dimension-reducing", "parameter dependent", "")

    RC_MONOTONE_NAMES = c("mismatch in monotonicity", "submodel dependent monotonicity", "previous model dependent monotonicity", "parameter dependent monotonicity", "not monotone", "monotone", "Gneiting-Schaback class", "normal mixture", "completely monotone", "Bernstein") RC_ISOTROPIC gives the numerical code for option "isotropic"

    RC_SPACEISOTROPIC gives the numerical code for option "space-isotropic"

    RC_CARTESIAN_COORD gives the numerical code for option "cartesian system"

    RC_GNOMONIC_PROJ gives the numerical code for the gnomonic projection, see also zenit in RFoptions.

    RC_ORTHOGRAPHIC_PROJ gives the numerical code for the orthographic projection, see also zenit in RFoptions.

    RC_EARTH_COORDS gives the numerical code for option "earth coordinates"

    RC_SPHERICAL_COORDS gives the numerical code for option "earth coordinates"

    RC_OPTIMISER_NAMES and RC_NLOPTR_NAMES give the names for the options optimiser and algorithm, respectively, RFfitoptimiser.

    RC_LIKELIHOOD_NAMES = c("auto", "full", "composite", "tesselation") gives the names of the ML variants: (i) internal choice according to the number of data, (ii) full likelihood, (iii) (pairwise) composite likelihood, and (iv) composite likelihood based on a tesselation of the space.

See Also

RF, RM, RP, RR, R., RFgetModelNames, RMmodelgenerator-class, RMtrafo

Examples

Run this code
RFoptions(seed=0) ## *ANY* simulation will have the random seed 0; set
##                   RFoptions(seed=NA) to make them all random again

RC_ISONAMES
RC_ISONAMES[RC_ISOTROPIC:RC_CARTESIAN_COORD + 1]
RFgetModelNames(isotropy=RC_ISONAMES[RC_ISOTROPIC:RC_CARTESIAN_COORD + 1])
FinalizeExample()

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