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geoBayes (version 0.7.6)

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

315

Version

0.7.6

License

GPL (>= 2)

Maintainer

Evangelos Evangelou

Last Published

May 14th, 2026

Functions in geoBayes (0.7.6)

Spatial log likelihood

MCMC samples from the Spatial GLMM

Spatial log likelihood

Simulation from a spatial model

Rhizoctonia root rot infections

Spatial variance-covariance matrix

select_proposals

Selection of multiple importance sampling distributions

Combine data.frames

Subset MCMC chain

Approximate log-likelihood calculation

Empirical Bayes standard errors

Log-likelihood maximisation

The geoBayes package

Compute the Bayes factors at new points

Computation of Bayes factors at the skeleton points

Log-likelihood approximation

Batch means, Bayes factors standard errors

geoBayes_correlation

Spatial correlation used in the geoBayes package

Empirical Bayes estimator

geoBayes_models

Models used in the geoBayes package

Convert to an mcmc object

Calculate the link function for exponential families

MCMC samples from the Spatial GLMM

Reverse logistic regression estimation

MCMC samples from the transformed Gaussian model

Plot the estimated Bayes factors

MCMC samples from the transformed Gaussian model

Make prediction grid