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RandomFields (version 3.1.8)

RFfit-class: Class RFfit

Description

Class for RandomField's representation of model estimation results

Usage

## S3 method for class 'RFfit':
residuals(object, ..., method="ml", full=FALSE)
## S3 method for class 'RFfit':
summary(object, ..., method="ml")
## S3 method for class 'RFfit,missing':
plot(x, model=NULL, method="ml",
 nmax.phi=NA, nmax.theta=NA, nmax.T=NA,
 plot.nbin=TRUE, plot.sd=FALSE, variogram = TRUE, boundaries = TRUE,...)
RFhessian(model)

Arguments

x
object of class RFsp or RFempVario or RFfit or
model
class(x)=="RF_fit" or class(x)=="RFfit", obtained from RFfit
method
character; only for class(x)=="RFfit"; a vector of slot names for which the fitted covariance or variogram model is to be plotted; should be a subset of slotNames(x) for which the corresponding slots are of class
nmax.phi
integer; only for class(x)=="RFempVario"; the maximal number of bins of angle phi that are to be plotted
nmax.theta
integer; only for class(x)=="RFempVario"; the maximal number of bins of angle theta that are to be plotted
nmax.T
integer; only for class(x)=="RFempVario"; the maximal number of different time bins that are to be plotted
plot.nbin
logical; only for class(x)=="RFempVario"; indicates whether the number of pairs per bin are to be plotted
plot.sd
logical; only for class(x)=="RFempVario"; indicates whether the calculated standard deviation (x@sd) is to be plotted (in form of arrows of length +-1*sd)
variogram
logical; This argument should currently not be set by the user. If TRUE then the empirical variogram is plotted, else an estimate for the covariance function
boundaries
logical; only for class(x)=="RFempVario" and the anisotropic case where model is given. As the empirical variogram is calculated on a sector of angles, no exact variogram curve corresponds to the mean values in this
...
in case of plot: arguments to be passed to methods; mainly graphical arguments, or further models in case of class 'RMmodel', see Details.

In case of summary: see the generic function

object
see the generic function;
full
logical. if TRUE submodels are reported as well (if available).

Creating Objects

Objects are created by the function RFfit

Further 'methods'

AICc.RFfit(object, ..., method="ml", full=FALSE)] AICc.RF_fit(object, ..., method="ml", full=TRUE)

References

AICc:
  • Hurvich, C.M. and Tsai, C.-L. (1989) Regression and Time Series Model Selection in Small SamplesBiometrika,76, 297-307.

See Also

RFfit, RFempiricalvariogram, RMmodel-class, RMmodelFit-class plot-method

Examples

Run this code
# see RFfit
FinalizeExample()

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