Learn R Programming

⚠️There's a newer version (0.4-8) of this package.Take me there.

spBayes (version 0.1-9)

Univariate and Multivariate Spatial Modeling

Description

spBayes fits univariate and multivariate models with Markov chain Monte Carlo (MCMC).

Copy Link

Version

Install

install.packages('spBayes')

Monthly Downloads

822

Version

0.1-9

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

August 6th, 2010

Functions in spBayes (0.1-9)

covGivens

Returns covariance matrix C given components of P and L in C=PLP'
iDist

Euclidean distance matrix
bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters
spGGT

Function for fitting univariate and multivariate Bayesian spatial regression models
bayesLMConjugate

Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
BEF.dat

Bartlett Experimental Forest inventory data
pointsInPoly

Finds points in a polygon
prior

Creates prior distribution definitions
spGLM

Function for fitting univariate Bayesian generalized linear spatial regression models
FBC07.dat

Synthetic multivariate data with spatial and non-spatial variance structures
spDiag

Model fit diagnostics DIC and GP
synthetic.dat

Synthetic univariate data used for illustrations
bayesLMRef

Simple Bayesian linear model with non-informative priors
covInvLogDet

Utility function for constructing predictive process covariance matrices
WEF.dat

Western Experimental Forest inventory data
mvCovInvLogDet

Utility function for constructing multivariate predictive process covariance matrices
spMvLM

Function for fitting multivariate Bayesian spatial regression models
mvLM

Function for fitting multivariate Bayesian regression models
hexGrid

Generates a hexagon tessellation within a bounding box
spMvGLM

Function for fitting multivariate Bayesian generalized linear spatial regression models
Zurich.dat

Zurichberg Forest inventory data
spPredict

Prediction for new locations given a model object
spLM

Function for fitting univariate Bayesian spatial regression models
adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm
mkMvX

Make a multivariate design matrix
FORMGMT.dat

Data used for illustrations