The Box-Cox Transformed Normal Distribution
The (Scaled) Inverse Chi-Squared Distribution
Converts an Object to the Class "geodata"
Parameter Estimation for the Box-Cox Transformation
Box-Cox transformation for geodata objects
Calcium and magnesium content in soil samples
Computes Value of the Covariance Function
Head observations in a regional confined aquifer
Plots Sample from Posterior Distributions
Data for spatial analysis of experiments
Image, Contour or Perspective Plot of Simulated Gaussian Random Field
Plots Results of the Predictive Distribution
Image or Perspective Plot with Kriging Results
Bayesian Analysis for Gaussian Geostatistical Models
Spatial Prediction -- Conventional Kriging
Add a legend to a image with kriging results
Likelihood Based Parameter Estimation for Gaussian Random Fields
Fits the bivariate Gaussian common component geostatistical model
Adds a Bayesian Estimate of the Variogram to a Plot
Adds Envelopes Lines to a Variogram Plot
Adds a Line with a Variogram Model to a Variogram Plot
Lines with True Variogram for Simulated Data
Adds a Variogram Line to a Variogram Plot
Adds a Line with a Fitted Variogram Model to a Variogram Plot
Select prediction locations inside borders
Log-Likelihood for a Gaussian Random Field
Computer Values of the Matern Correlation Function
Lists names of the key elements of a geodata object
Adapts nlm for Constraints in the Parameter Values
Defines output options for prediction functions
Plots Prior and/or Posterior Distributions
Pratical range for correlation functions
Prediction for the bivariate Gaussian common component geostatistical model
Prints an summary of of the output from likfitBGCCM.
Simulated Data-Sets which Illustrate the Usage of the Package geoR
Simulated Data-Set which Illustrate the Usage of krige.bayes
Soya bean production and other variables in a uniformity trial
Summary statistics from predictive distributions
Summarizes Parameter Estimation Results for Gaussian Random Fields
Summarize Results of Variogram Estimation
TCE concentrations in groundwater in a vertical cross section
Computes Covariance Matrix and Related Results
Covariance matrix for the bivariate Gaussian common component geostatistical model
Envelops for Empirical Variograms Based on Permutation
Envelops for Empirical Variograms Based on Model Parameters
Kriging example data from Webster and Oliver
Wrappers for the C functions used in geoR
Points of a water retention curve data set

Likelihood function for a Gaussian Random Field