R: Geostatistical Modelling with Likelihood and Bayes

# Geostatistical Modelling with Likelihood and Bayes

## Documentation for package ‘geostatsp’ version 2.0.8

- DESCRIPTION file.
- User guides, package vignettes and other documentation.

## Help Pages

conditionalGmrf | Conditional distribution of GMRF
elevationLoa | Loaloa prevalence data from 197 village surveys
eviLoa | Loaloa prevalence data from 197 village surveys
excProb | Exceedance probabilities
fillParam | Evaluate the Matern correlation function
gambiaUTM | Gambia data
glgm | Generalized Linear Geostatistical Models
glgm-method | Generalized Linear Geostatistical Models
glgm-methods | Generalized Linear Geostatistical Models
informationLgm | Joint confidence regions
inla.models | Valid models in INLA
krigeLgm | Spatial prediction, or Kriging
lgcp | Generalized Linear Geostatistical Models
lgm | Linear Geostatistical Models
lgm-method | Linear Geostatistical Models
lgm-methods | Linear Geostatistical Models
likfitLgm | Likelihood Based Parameter Estimation for Gaussian Random Fields
loaloa | Loaloa prevalence data from 197 village surveys
loglikLgm | Likelihood Based Parameter Estimation for Gaussian Random Fields
ltLoa | Loaloa prevalence data from 197 village surveys
matern | Evaluate the Matern correlation function
matern.default | Evaluate the Matern correlation function
matern.dist | Evaluate the Matern correlation function
matern.SpatRaster | Evaluate the Matern correlation function
matern.SpatVector | Evaluate the Matern correlation function
maternGmrfPrec | Precision matrix for a Matern spatial correlation
maternGmrfPrec.default | Precision matrix for a Matern spatial correlation
maternGmrfPrec.dgCMatrix | Precision matrix for a Matern spatial correlation
modelRandomFields | Simulation of Random Fields
murder | Murder locations
NNmat | Precision matrix for a Matern spatial correlation
NNmat.default | Precision matrix for a Matern spatial correlation
NNmat.SpatRaster | Precision matrix for a Matern spatial correlation
pcPrior | PC prior for range parameter
pcPriorRange | PC prior for range parameter
postExp | Exponentiate posterior quantiles
profLlgm | Joint confidence regions
RFsimulate | Simulation of Random Fields
RFsimulate-method | Simulation of Random Fields
RFsimulate-methods | Simulation of Random Fields
rongelapUTM | Rongelap data
simLgcp | Simulate a log-Gaussian Cox process
simPoissonPP | Simulate a log-Gaussian Cox process
spatialRoc | Sensitivity and specificity
spdfToBrick | Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack.
squareRaster | Create a raster with square cells
squareRaster-method | Create a raster with square cells
squareRaster-methods | Create a raster with square cells
stackRasterList | Converts a list of rasters, possibly with different projections and resolutions, to a single raster stack.
swissAltitude | Swiss rainfall data
swissBorder | Swiss rainfall data
swissLandType | Swiss rainfall data
swissNN | Raster of Swiss rain data
swissRain | Swiss rainfall data
swissRainR | Raster of Swiss rain data
tempLoa | Loaloa prevalence data from 197 village surveys
torontoBorder | Murder locations
torontoIncome | Murder locations
torontoNight | Murder locations
torontoPdens | Murder locations
variog | Compute Empirical Variograms and Permutation Envelopes
variog.default | Compute Empirical Variograms and Permutation Envelopes
variog.SpatVector | Compute Empirical Variograms and Permutation Envelopes
variogMcEnv | Compute Empirical Variograms and Permutation Envelopes
variogMcEnv.default | Compute Empirical Variograms and Permutation Envelopes
variogMcEnv.SpatVector | Compute Empirical Variograms and Permutation Envelopes
wheat | Mercer and Hall wheat yield data