internal.functions: Internal Functions of Package 'georob'

In georob: Robust Geostatistical Analysis of Spatial Data

Description

The unexported internal functions

• check.newdata

• covariances.fixed.random.effects

• crpsnorm

• estimate.zhat

• estimating.equations.theta

• estimating.equations.z

• 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.

Author(s)

Andreas Papritz [e-mail]
with contributions by Cornelia Schwierz.

See Also

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.

georob documentation built on June 4, 2021, 5:06 p.m.