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geoBayes (version 0.5.1)

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

0.5.1

License

GPL (>= 2)

Maintainer

Evangelos Evangelou

Last Published

May 13th, 2018

Functions in geoBayes (0.5.1)

Reverse logistic regression estimation

Subset MCMC chain

Compute transformed sample

Combine data.frames

Spatial log likelihood

Computation of Bayes factors at the skeleton points

Empirical Bayes estimator

Compute the Bayes factors at new points

The geoBayes package

Log-likelihood maximisation

MCMC samples from the transformed Gaussian model

Calculate the link function for exponential families

geoBayes_correlation

Spatial correlation used in the geoBayes package

Convert to an mcmc object

Make prediction grid

comparebinlinks

Compare two link functions for the binomial distribution

geoBayes_models

Models used in the geoBayes package

MCMC samples from the Spatial GLMM

Computation of standard errors for Bayes factors

Rhizoctonia root rot infections

Simulation from a spatial model

Log-likelihood approximation

Plot the estimated Bayes factors