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geoBayes (version 0.7.4)

Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods

Description

Functions to fit geostatistical data. The data can be continuous, binary or count data and the models implemented are flexible. Conjugate priors are assumed on some parameters while inference on the other parameters can be done through a full Bayesian analysis of by empirical Bayes methods.

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Version

Install

install.packages('geoBayes')

Monthly Downloads

295

Version

0.7.4

License

GPL (>= 2)

Maintainer

Evangelos Evangelou

Last Published

October 7th, 2024

Functions in geoBayes (0.7.4)

plotbf2

Plot the estimated Bayes factors
geoBayes_models

Models used in the geoBayes package
linkfcn

Calculate the link function for exponential families
mcstrga_mala

MCMC samples from the transformed Gaussian model
mcmcmake

Convert to an mcmc object
mcsglmm

MCMC samples from the Spatial GLMM
mcstrga

MCMC samples from the transformed Gaussian model
mcsglmm_mala

MCMC samples from the Spatial GLMM
revlogreg

Reverse logistic regression estimation
subset.geomcmc

Subset MCMC chain
rhizoctonia

Rhizoctonia root rot infections
mkpredgrid2d

Make prediction grid
spcovariance

Spatial variance-covariance matrix
rsglmm

Simulation from a spatial model
stackdata

Combine data.frames
select_proposals

Selection of multiple importance sampling distributions
sploglik

Spatial log likelihood
sploglik_cross

Spatial log likelihood
bf2optim

Empirical Bayes estimator
bmbfse

Batch means, Bayes factors standard errors
bf1skel

Computation of Bayes factors at the skeleton points
alik_cutoff

Approximate log-likelihood calculation
alik_optim

Log-likelihood maximisation
geoBayes_correlation

Spatial correlation used in the geoBayes package
alik_inla

Log-likelihood approximation
bf2se

Empirical Bayes standard errors
geoBayes

The geoBayes package
bf2new

Compute the Bayes factors at new points