Andrew Finley

Departments of Forestry and Geography

Geospatial Lab - Natural Resources Building - Michigan State University

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Software

spBayes: Univariate and Multivariate Spatio-temporal Modeling

spBayes fits univariate and multivariate models with Markov chain Monte Carlo (MCMC). Core functions include:

  • spLM – univariate Gaussian regression with spatial random effects
  • spMvLM – multivariate Gaussian regression with spatial random effects
  • spMisalignLM – multivariate Gaussian regression with spatial random effects for misaligned data
  • spGLM – univariate Logistic and Poisson regression with spatial random effects
  • spMvGLM – multivariate Logistic and Poisson regression with spatial random effects
  • spMisalignGLM – multivariate Logistic and Poisson regression with spatial random effects for misaligned data
  • spDynLM – univariate Gaussian regression with dynamic space-time random effects

For the core functions, a predictive process model can be specified for large data sets. Also adaptive MCMC is available for those parameters that cannot be updated using Gibbs. Course material and illustrations can be found here.

The stable version is available on CRAN.

The development version is available below.

Version: 0.3-7
Depends: R (≥ 1.8.0), coda, magic, abind, Formula
Suggests: MBA, geoR
Published: 2013-03-21
License: GPL (≥ 2)
In views: Bayesian, Spatial
Package source: spBayes_0.3-7.tar.gz
Windows binary: spBayes_0.3-7.zip
Reference manual: spBayes.pdf
News/ChangeLog: ChangeLog

MBA: Multilevel B-spline Approximation

MBA generates surfaces interpolated from scattered data using Multilevel B-Splines. The most recent version is available on CRAN.

Computing notes

Run time of spBayes functions can be substantially reduced by compiling R with threaded BLAS and LAPACK libraries.
Details