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 0.1-0)
Univariate and Multivariate Spatial Modeling
Description
spBayes fits Gaussian 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
0.1-0
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
June 3rd, 2008
Functions in spBayes (0.1-0)
Search functions
sp.lm
Function for fitting univariate Bayesian spatial regression models
rf.n1000.dat
Synthetic univariate data used for illustrations
bayes.lm.ref
Simple Bayesian linear model with non-informative priors
FORMGMT.dat
Data used for illustrations
sp.DIC
Calculates model DIC and associated statistics given a bayes.lm.ref, bayes.lm.conjugate, ggt.sp, sp.lm, or bayes.geostat.exact object
FBC07.dat
Synthetic multivariate data with spatial and non-spatial variance structures
sp.predict
Prediction for new points given a ggt.sp, sp.lm, or bayes.geostat.exact object
rf.n200.dat
Synthetic univariate data used for illustrations
mk.mv.X
Make a multivariate design matrix
ggt.sp
Function for fitting univariate and multivariate Bayesian spatial regression models
BEF.dat
Bartlett Experimental Forest inventory data
bayes.lm.conjugate
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
bayes.geostat.exact
Simple Bayesian spatial linear model with fixed semivariogram parameters
rf.n500.dat
Synthetic univariate data used for illustrations
prior
Creates prior distribution definitions