Description Value Author(s) See Also
An object of class georob
as returned by georob
and
representing a (robustly) fitted spatial linear model. Objects of this
class have methods for model building (see
georobModelBuilding
) and crossvalidation (see
cv.georob
), for computing (robust) Kriging predictions (see
predict.georob
), for plotting (see
plot.georob
) and for common generic functions (see
georobMethods
).
A georob
object is a list with following components:
loglik 
the maximized (restricted) Gaussian loglikelihood of a
nonrobust (RE)ML fit or 
variogram.object 
the estimated parameters of a possibly nested variograms model. This is a list that contains for each variogram model structure the following components:

gradient 
a named numeric vector with the estimating equations (robust REML) or the gradient of the maximized (restricted) loglikelihood (Gaussian (RE)ML) evaluated at the solution. 
tuning.psi 
the value of the tuning constant c of the ψ_cfunction. 
coefficients 
a named vector with the estimated regression coefficients. 
fitted.values 
a named vector with the fitted values of the external drift X hatβ. 
bhat 
a named vector with the predicted spatial random effects hatB at the data locations. 
residuals 
a named vector with the residuals hatε=YX hatβ  hatB. 
rweights 
a named numeric vector with the “robustness weights” ψ(hatε_i/hatτ) / (hatε_i/hatτ). 
converged 
logical indicating whether numerical maximization of
the (restricted) loglikelihood by 
convergence.code 
a diagnostic integer issued by

iter 
a named integer vector of length two, indicating either

Tmat 
the compressed design matrix for replicated observations at coincident locations (integer vector that contains for each observation the row index of the respective unique location). 
cov 
a list with covariance matrices (or diagonal variance
vectors). Covariance matrices are stored in compressed form (see

expectations 
a named numeric vector with the expectations of
dψ_c'(x)/dx ( 
Valphaxi.objects 
a list of matrices in compressed form with (among others) the following components:

zhat.objects 
a list of matrices in (partly) compressed form with the following components:

locations.object 
a list with 3 components:

initial.objects 
a list with 3 components:

hessian 
a symmetric matrix giving an estimate of the Hessian at
the solution if the model was fitted nonrobustly with the argument

control 
a list with control parameters generated by

MD 
optionally a matrix of robust distances in the space spanned by
X (see argument 
model, x, y 
if requested the model frame, the model matrix and the response, respectively. 

further
components of the fit as described for an object of class

Andreas Papritz [email protected]
georobIntro
for a description of the model and a brief summary of the algorithms;
georob
for (robust) fitting of spatial linear models;
profilelogLik
for computing profiles of Gaussian likelihoods;
plot.georob
for display of RE(ML) variogram estimates;
control.georob
for controlling the behaviour of georob
;
georobModelBuilding
for stepwise building models of class georob
;
cv.georob
for assessing the goodness of a fit by georob
;
georobMethods
for further methods for the class georob
;
predict.georob
for computing robust Kriging predictions;
lgnpp
for unbiased backtransformation of Kriging prediction
of logtransformed data;
georobSimulation
for simulating realizations of a Gaussian process
from model fitted by georob
; and finally
sample.variogram
and fit.variogram.model
for robust estimation and modelling of sample variograms.
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