df_porosity

A dataset containing 566 porosity values from 6 different sites

datasets

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.

Falk Hesse

exPrior

Prior Distributions Using a Bayesian Hierarchical Framework

Nura Kawa

Karina Cucchi

df_porosity function

A data frame with 566 rows and 2 variables:<dl class="dl-horizontal">
 <dt>site_id</dt><dd>id of the site, categorical</dd>
 <dt>val</dt><dd>porosity value, non-dimensional fraction</dd>
 ...
</dl>

Format

566 porosity values — df_porosity

A data frame with 566 rows and 2 variables:<dl class='dl-horizontal'>
 <dt>site_id</dt><dd>id of the site, categorical</dd>
 <dt>val</dt><dd>porosity value, non-dimensional fraction</dd>
 ...
</dl>

df_porosity: 566 porosity values

Description

Usage

Arguments

Format