Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (0.4-8) of this package.
Take me there.
spBayes (version 0.1-6)
Univariate and Multivariate Spatial Modeling
Description
spBayes fits univariate and multivariate models with Markov chain Monte Carlo (MCMC).
Copy Link
Link to current version
Version
Version
0.4-8
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
Install
install.packages('spBayes')
Monthly Downloads
822
Version
0.1-6
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
March 9th, 2010
Functions in spBayes (0.1-6)
Search all functions
bayesLMRef
Simple Bayesian linear model with non-informative priors
BEF.dat
Bartlett Experimental Forest inventory data
bayesGeostatExact
Simple Bayesian spatial linear model with fixed semivariogram parameters
WEF.dat
Western Experimental Forest inventory data
mvCovInvLogDet
Utility function for constructing multivariate predictive process covariance matrices
mvLM
Function for fitting multivariate Bayesian regression models
FORMGMT.dat
Data used for illustrations
spDiag
Model fit diagnostics DIC and GP
spMvLM
Function for fitting multivariate Bayesian spatial regression models
Zurich.dat
Zurichberg Forest inventory data
hexGrid
Generates a hexagon tessellation within a bounding box
iDist
Euclidean distance matrix
spGGT
Function for fitting univariate and multivariate Bayesian spatial regression models
mkMvX
Make a multivariate design matrix
prior
Creates prior distribution definitions
spPredict
Prediction for new locations given a model object
covGivens
Returns covariance matrix C given components of P and L in C=PLP'
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
covInvLogDet
Utility function for constructing predictive process covariance matrices
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
synthetic.dat
Synthetic univariate data used for illustrations
spLM
Function for fitting univariate Bayesian spatial regression models
bayesLMConjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
pointsInPoly
Finds points in a polygon