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spBayes (version 0.4-3)

Univariate and Multivariate Spatial-Temporal Modeling

Description

Fits univariate and multivariate spatio-temporal random effects models for point-referenced data using Markov chain Monte Carlo (MCMC). Details are given in Finley, Banerjee, and Gelfand (2015) and Finley, Banerjee, and Cook (2014) .

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Version

Install

install.packages('spBayes')

Monthly Downloads

794

Version

0.4-3

License

GPL (>= 2)

Maintainer

Andrew Finley

Last Published

February 6th, 2020

Functions in spBayes (0.4-3)

Zurichberg Forest inventory data

adaptMetropGibbs

Adaptive Metropolis within Gibbs algorithm

bayesGeostatExact

Simple Bayesian spatial linear model with fixed semivariogram parameters

Finds points in a polygon

Function for calculating univariate and multivariate covariance matrices

Observations of ozone concentration levels.

Function for fitting multivariate generalized linear Bayesian spatial regression models to misaligned data

Function for fitting univariate Bayesian dynamic space-time regression models

Model fit diagnostics

Function for fitting univariate Bayesian generalized linear spatial regression models

Function for fitting multivariate Bayesian spatial regression models to misaligned data

Simple Bayesian linear model with non-informative priors

Synthetic multivariate data with spatial and non-spatial variance structures

Observed and modeled PM10 concentrations across Europe

Euclidean distance matrix

bayesLMConjugate

Simple Bayesian linear model via the Normal/inverse-Gamma conjugate

Bartlett Experimental Forest inventory data

Function for fitting univariate Bayesian spatially-varying coefficient regression models

Function for recovering regression coefficients and spatial random effects for spLM, spMvLM, spMisalignLM, spSVC using composition sampling

Make a multivariate design matrix

Function for fitting univariate Bayesian spatial regression models

Function for fitting multivariate Bayesian generalized linear spatial regression models

Function for fitting multivariate Bayesian spatial regression models

Function for new locations given a model object

European countries used in PM10.dat

Synthetic data from a space-varying coefficients model

Western Experimental Forest inventory data

Data used for illustrations

Monthly weather station temperature data across the Northeastern US