Prior Distributions Using a Bayesian Hierarchical Framework

The aim of this package is to provide practitioners of statistics in geology, hydrology, etc. a tool to derive prior distributions for Bayesian inference. Prior distributions summarize knowledge from studies at similar sites. The main features of the package are to (i) generate prior distributions based on external data only; (ii) to account for possible autocorrelation in the data, and (iii) to account for available soft data, say, in the form of expert information on bounds and moments.


Reference manual

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1.0.1 by Falk Hesse, a year ago

Browse source code at

Authors: Falk Hesse [cre] , Nura Kawa [aut] , Karina Cucchi [aut]

Documentation:   PDF Manual  

MIT + file LICENSE license

Imports plyr, stats, ggplot2, reshape2, gtable, grid, coda

Depends on nimble

Suggests knitr, rmarkdown, devtools, testthat

See at CRAN