georob v0.3-6


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Robust Geostatistical Analysis of Spatial Data

Provides functions for efficiently fitting linear models with spatially correlated errors by robust and Gaussian (Restricted) Maximum Likelihood and for computing robust and customary point and block external-drift Kriging predictions, along with utility functions for variogram modelling in ad hoc geostatistical analyses, model building, model evaluation by cross-validation, (conditional) simulation of Gaussian processes, unbiased back-transformation of Kriging predictions of log-transformed data.

Functions in georob

Name Description
cv Generic Cross-validation
cv.georob Cross-Validating a Spatial Linear Model Fitted by georob
fit.variogram.model Fitting Model Functions to Sample Variograms
georob Robust Fitting of Spatial Linear Models
pmm Parallelized Matrix Multiplication
predict.georob Predict Method for Robustly Fitted Spatial Linear Models
compress Compact Storage of Symmetric and Triangular Matrices
control.georob Tuning Parameters for georob
profilelogLik Profile Likelihood
sample.variogram Computing (Robust) Sample Variograms of Spatial Data
georobModelBuilding S3 Methods for Stepwise Building Fixed-Effects Models for Class georob
georobObject Fitted georob Object
georobPackage The georob Package
georobS3methods Common S3 Methods for Class georob
georobSimulation Simulating Realizations of Gaussian Processes from Object of Class georob
lgnpp Unbiased Back-Transformations for Log-normal Kriging
default.aniso Setting Default Values of Variogram Parameters
param.names Names and Permissible Ranges of Variogram Parameters
plot.georob Plot Methods for Class georob
internal.functions Internal Functions of Package georob
validate.predictions Summary Statistics of (Cross-)Validation Prediction Errors
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Last month downloads


Type Package
Date 2018-01-26
License GPL (>= 2)
NeedsCompilation no
Packaged 2018-01-26 17:26:02 UTC; papritz
Repository CRAN
Date/Publication 2018-01-26 19:12:15 UTC

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