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georob (version 0.3-6)

Robust Geostatistical Analysis of Spatial Data

Description

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.

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Version

Install

install.packages('georob')

Monthly Downloads

399

Version

0.3-6

License

GPL (>= 2)

Maintainer

Andreas Papritz

Last Published

January 26th, 2018

Functions in georob (0.3-6)

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