parameter.range: Range of model specific parameters

Description

parameter.range returns the range of the parameters specific to a parametrised variogram model or a covariance function

--- NOT PROGRAMMED YET --

Usage

parameter.range(model, param, dim=1)

Arguments

model

the variogram model or covariance function, see CovarianceFct

param

see CovarianceFct

dim

the dimension of the random field

Value

If the model is not valid or not specified for the given dimension, NaN is returned. If the model does not have additional parameters, NULL is returned. Otherwise a list is returned. If the parameter space is simple, a list of the following elements is returned
theoreticalThe theoretical ranges of the parameters. Note that open and closed intervals are not distinguished here.
practicalThe ranges of the parameters usually not exceeded in practical applications.
Both elements are matrices with two rows and the number of columns being the number of parameters. If the parameter space is complex, the parameter space is devided into rectangular areas and theoretical and practical are lists where each element is a matrix as above.

Examples

Run this code

parameter.range("exponential", param=NA, dim=1) # NULL
  try(parameter.range("power", param=NA, dim=1))
  try(parameter.range("power", param=c(NA, NA, NA, NA, 2), dim=2))
  Print(parameter.range("gengneiting", param=NA, dim=2))
  Print(parameter.range("nsst", param=NA,  dim=1))
  Print(parameter.range("hyper",param, dim=1))

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