Analysis of Geostatistical Data using Bayes and Empirical Bayes Methods

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.


News

0.3.3

  • Fixed a bug of MCMC when using normal prior for beta.

0.3.2

  • Fixed some bugs related to the binomial workaround.
  • Updated references.
  • Fixed an error when using ebsglmm with transf = TRUE.
  • Some demos were not running, now they do.

0.3.1

  • This version compiles with parallel make.

0.3.0

  • Please update to this version as a number of bugs have been corrected.
  • Implement a fast workaround for for the untransformed binomial-robit model.
  • New binomial link family Wallace.binomial.

0.2.150402

  • Fixed a bug for the transformed gaussian model.
  • Update of the fortran code.

0.2.150308

  • Added a GEVbinomial and GEVDbinomial link functions.
  • Updated code.

0.1.3

  • This package can be compiled with parallel make.
  • Added more examples and demos.
  • Renamed the function contour.bfsp to plotbf and added more options.

0.1.2

  • Previous version was using FORTRAN's WRITE statement. This one does not.

0.1.1

  • First submission. Please beware of bugs.

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("geoBayes")

0.5.1 by Evangelos Evangelou, 3 months ago


Browse source code at https://github.com/cran/geoBayes


Authors: Evangelos Evangelou <[email protected]>, Vivekananda Roy <[email protected]>


Documentation:   PDF Manual  


GPL (>= 2) license


Imports stats, coda, sp

Suggests geoR


See at CRAN