adaptMetropGibbs
(Package: spBayes) :
Adaptive Metropolis within Gibbs algorithm
Markov chain Monte Carlo for continuous random vector using an adaptive Metropolis within Gibbs algorithm.
● Data Source:
CranContrib
● Keywords: model
● Alias: adaptMetropGibbs
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mkMvX
(Package: spBayes) :
Make a multivariate design matrix
Given q univariate design matrices, the function mkMvX creates a multivariate design matrix suitable for use in spPredict.
● Data Source:
CranContrib
● Keywords: manip
● Alias: mkMvX
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spPredict
(Package: spBayes) :
Function for new locations given a model object
The function spPredict collects posterior predictive samples for a set of new locations given a spLM, spMvLM, spGLM, spMvGLM, spMisalignLM, or spMisalignGLM object.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: spPredict
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bayesGeostatExact
(Package: spBayes) :
Simple Bayesian spatial linear model with fixed semivariogram parameters
Given a observation coordinates and fixed semivariogram parameters the bayesGeostatExact function fits a simple Bayesian spatial linear model.
● Data Source:
CranContrib
● Keywords: misc
● Alias: bayesGeostatExact
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spMvGLM
(Package: spBayes) :
Function for fitting multivariate Bayesian generalized linear spatial regression models
The function spMvGLM fits multivariate Bayesian generalized linear spatial regression models. Given a set of knots, spMvGLM will also fit a predictive process model (see references below).
● Data Source:
CranContrib
● Keywords: model
● Alias: spMvGLM
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spDiag
(Package: spBayes) :
Model fit diagnostics
The function spDiag calculates DIC, GP, GRS, and associated statistics given a spLM, spMvLM, spGLM, or spMvGLM object.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: spDiag
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spLM
(Package: spBayes) :
Function for fitting univariate Bayesian spatial regression models
The function spLM fits Gaussian univariate Bayesian spatial regression models. Given a set of knots, spLM will also fit a predictive process model (see references below).
● Data Source:
CranContrib
● Keywords: model
● Alias: spLM
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spMvLM
(Package: spBayes) :
Function for fitting multivariate Bayesian spatial regression models
The function spMvLM fits Gaussian multivariate Bayesian spatial regression models. Given a set of knots, spMvLM will also fit a predictive process model (see references below).
● Data Source:
CranContrib
● Keywords: model
● Alias: spMvLM
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spRecover
(Package: spBayes) :
Function for recovering regression coefficients and spatial
Function for recovering regression coefficients and spatial random effects for spLM, spMvLM, and spMisalignLM using composition sampling.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: spRecover
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bayesLMConjugate
(Package: spBayes) :
Simple Bayesian linear model via the Normal/inverse-Gamma conjugate
Given an lm object, the bayesLMConjugate function fits a simple Bayesian linear model with Normal and inverse-Gamma priors.
● Data Source:
CranContrib
● Keywords: misc
● Alias: bayesLMConjugate
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