RFfit## 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)RFsp or
class(x)=="RF_fit" or class(x)=="RFfit", obtained
from 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
class(x)=="RFempVario";
the maximal number of bins of angle phi that are to be
plottedclass(x)=="RFempVario";
the maximal number of bins of angle theta that are to be
plottedclass(x)=="RFempVario";
the maximal number of different time bins that are to be
plottedclass(x)=="RFempVario";
indicates whether the number of pairs per bin are to be plottedclass(x)=="RFempVario";
indicates whether the calculated standard deviation (x@sd) is
to be plotted (in form of arrows of length +-1*sd)TRUE then the empirical variogram
is plotted, else an estimate for the covariance functionclass(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
'RMmodel',
see Details. In case of
TRUE submodels are reported as well (if available).AICc.RFfit(object, ..., method="ml", full=FALSE)]
AICc.RF_fit(object, ..., method="ml", full=TRUE)RFfit,
RFempiricalvariogram,
RMmodel-class,
RMmodelFit-class
plot-method