The unexported internal functions
covariances.fixed.random.effects
crpsnorm
estimate.zhat
estimating.equations.theta
estimating.equations.B
f.aux.Qstar
f.aux.RSS
f.aux.Valphaxi
f.aux.add1.drop1
f.aux.crpsnorm
f.aux.eeq
f.aux.gcr
f.aux.gradient.nll
f.aux.gradient.npll
f.aux.print.gradient
f.aux.tf.param.fwd
f.call.set_allfitxxx_to_false
f.call.set_allxxx_to_fitted_values
f.call.set_onefitxxx_to_value
f.call.set_onexxx_to_value
f.call.set_x_to_value
f.call.set_x_to_value_in_fun
f.diag
f.psi.function
f.reparam.bkw
f.reparam.fwd
f.robust.uk
f.stop.cluster
georob.fit
getCall.georob
gradient.negative.loglikelihood
K
lmrob.control
likelihood.calculations
negative.log-likelihood
partial.derivatives.variogram
safe_pchisq
simple.kriging.weights
update.zhat
are not intended for direct use. However, as any unexported function they
can be accessed by typing georob:::function-name.
In addition, the function K, which is re-exported by the package
georob is required for computing block Kriging predictions by the
function f.point.block.cov of the package constrainedKriging.
Furthermore, the (re-exported) function
lmrob.control allows to pass tuning parameters to
the function lmrob of the package robustbase.
georob for (robust) fitting of spatial linear models;
georobObject for a description of the class georob;
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;
predict.georob for computing robust Kriging predictions;
lgnpp for unbiased back-transformation of Kriging prediction
of log-transformed data; and finally
georobMethods for further methods for the class georob,
sample.variogram and fit.variogram.model
for robust estimation and modelling of sample variograms.