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georob (version 0.2-3)

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 and for unbiased back-transformation of kriging predictions of log-transformed data.

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Version

Install

install.packages('georob')

Monthly Downloads

296

Version

0.2-3

License

GPL (>= 2)

Maintainer

Andreas Papritz

Last Published

March 2nd, 2016

Functions in georob (0.2-3)

cv.georob

Cross-Validating a Spatial Linear Model Fitted by georob
cv

Generic Cross-validation
control.georob

Tuning Parameters for georob
fit.variogram.model

Fitting Model Functions to Sample Variograms
param.names

Names and Permissible Ranges of Variogram Parameters
georobModelBuilding

S3 Methods for Stepwise Building Fixed-Effects Models for Class georob
compress

Compact Storage of Symmetric and Triangular Matrices
pmm

Parallelized Matrix Multiplication
georob

Robust Fitting of Spatial Linear Models
georob-S3methods

Common S3 Methods for Class georob
profilelogLik

Profile Likelihood
predict.georob

Predict Method for Robustly Fitted Spatial Linear Models
plot.georob

Plot Methods for Class georob
validate.predictions

Summary Statistics of (Cross-)Validation Prediction Errors
lgnpp

Unbiased Back-Transformations for Lognormal Kriging
default.aniso

Setting Default Values of Variogram Parameters
sample.variogram

Computing (Robust) Sample Variograms of Spatial Data
internal.functions

Internal Functions of Package georob
georobObject

Fitted georob Object
georob-package

The georob Package