RDocumentation
Moon
Learn R
Search all packages and functions
⚠️
There's a newer version (0.4-7) 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
Copy
Link to current version
Version
Version
0.4-7
0.4-6
0.4-5
0.4-4
0.4-3
0.4-2
0.4-1
0.4-0
0.3-9
0.3-8
0.3-7
0.3-6
0.3-5
0.3-4
0.3-3
0.3-2
0.3-1
0.3-0
0.2-9
0.2-6
0.2-4
0.2-2
0.2-1
0.2-0
0.1-9
0.1-8
0.1-7
0.1-6
0.1-5
0.1-4
0.1-3
0.1-2
0.1-1
0.1-0
0.0-9
0.0-8
0.0-7
0.0-6
0.0-5
0.0-4
0.0-3
0.0-2
0.0-1
Down Chevron
Install
install.packages('spBayes')
Monthly Downloads
1,147
Version
0.1-9
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
August 6th, 2010
Functions in spBayes (0.1-9)
Search functions
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