Rdocumentation
powered by
Learn R Programming
⚠️
There's a newer version (0.4-8) of this package.
Take me there.
spBayes (version 0.3-0)
Univariate and Multivariate Spatial Modeling
Description
spBayes fits univariate and multivariate spatial 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
0.3-0
License
GPL (>= 2)
Maintainer
Andrew Finley
Last Published
December 17th, 2012
Functions in spBayes (0.3-0)
Search all functions
spRecover
Function for recovering regression coefficients and spatial random effects for
spLM
and
spMvLM
using composition sampling
adaptMetropGibbs
Adaptive Metropolis within Gibbs algorithm
spMvGLM
Function for fitting multivariate Bayesian generalized linear spatial regression models
spPredict
Function for new locations given a model object
pointsInPoly
Finds points in a polygon
spLM
Function for fitting univariate Bayesian spatial regression models
mkMvX
Make a multivariate design matrix
bayesLMRef
Simple Bayesian linear model with non-informative priors
spGLM
Function for fitting univariate Bayesian generalized linear spatial regression models
iDist
Euclidean distance matrix
spMvLM
Function for fitting multivariate Bayesian spatial regression models
mkSpCov
Function for calculating univariate and multivariate covariance matrices
spDiag
Model fit diagnostics