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geoBayes (version 0.7.5)

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

307

Version

0.7.5

License

GPL (>= 2)

Maintainer

Evangelos Evangelou

Last Published

January 26th, 2026

Functions in geoBayes (0.7.5)

Reverse logistic regression estimation

Calculate the link function for exponential families

Convert to an mcmc object

MCMC samples from the Spatial GLMM

MCMC samples from the transformed Gaussian model

geoBayes_models

Models used in the geoBayes package

MCMC samples from the transformed Gaussian model

Plot the estimated Bayes factors

Make prediction grid

MCMC samples from the Spatial GLMM

Combine data.frames

Spatial log likelihood

Rhizoctonia root rot infections

Simulation from a spatial model

select_proposals

Selection of multiple importance sampling distributions

Spatial variance-covariance matrix

Spatial log likelihood

Subset MCMC chain

Computation of Bayes factors at the skeleton points

The geoBayes package

Log-likelihood approximation

Log-likelihood maximisation

Compute the Bayes factors at new points

Approximate log-likelihood calculation

Batch means, Bayes factors standard errors

Empirical Bayes estimator

Empirical Bayes standard errors

geoBayes_correlation

Spatial correlation used in the geoBayes package