RandomFields (version 3.1.36)

RFfit-class: Class RFfit

Description

Class for RandomField's representation of model estimation results

Usage

"residuals"(object, ..., method="ml", full=FALSE)
"summary"(object, ..., method="ml")
"plot"(x, y, ...) 
"contour"(x, ...) 
"contour"(x, ...)
RFhessian(model)

Arguments

object

see the generic function;

...

• plot: arguments to be passed to methods; mainly graphical arguments, or further models in case of class 'RMmodel', see Details.

• summary: see the generic function
• contour : see RFplotEmpVariogram

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 "RMmodelFit"; by default, the maximum likelihood fit ("ml") will be plotted

full

logical. if TRUE submodels are reported as well (if available).

x

object of class RFsp or RFempVario or RFfit or RMmodel; in the latter case, x can be any sophisticated model but it must be either stationary or a variogram model

y

unused

model

class(x)=="RF_fit" or class(x)=="RFfit", obtained from RFfit

Creating Objects

Objects are created by the function RFfit

Slots

Methods

Further 'methods'

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

Details

for the definition of plot see RFplotEmpVariogram.

References

AICc:

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

See Also

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

Examples

# see RFfit