arsenic

Results from an inter-laboratory study involving \(k = 28\) measurements for the level of arsenic in oyster tissue. <code>y</code> is the mean level of arsenic from a lab and <code>se</code> is the standard error of the measurement.

datasets

A Bayesian data modeling scheme that performs four interconnected tasks: (i) characterizes the uncertainty of the elicited parametric prior; (ii) provides exploratory diagnostic for checking prior-data conflict; (iii) computes the final statistical prior density estimate; and (iv) executes macro- and micro-inference. Primary reference is Mukhopadhyay, S. and Fletcher, D. 2018 paper "Generalized Empirical Bayes via Frequentist Goodness of Fit" (<https://www.nature.com/articles/s41598-018-28130-5 >).

Doug Fletcher

BayesGOF

Bayesian Modeling via Frequentist Goodness-of-Fit

arsenic function

A data frame of \((y_i, se_i)\) for \(i = 1,...,28\).<dl class="dl-horizontal">
 <dt><code>y</code></dt><dd>mean level of arsenic in the tissue measured by the \(i^{th}\) lab</dd>
 <dt><code>se</code></dt><dd>the standard error of the measurement by \(i^{th}\) lab</dd>
 </dl>

Format

Arsenic levels in oyster tissue — arsenic

A data frame of \((y_i, se_i)\) for \(i = 1,...,28\).<dl class='dl-horizontal'>
 <dt><code>y</code></dt><dd>mean level of arsenic in the tissue measured by the \(i^{th}\) lab</dd>
 <dt><code>se</code></dt><dd>the standard error of the measurement by \(i^{th}\) lab</dd>
 </dl>

arsenic: Arsenic levels in oyster tissue

Description

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