In Example 7.3, assess sensitivity of predictive fit (the sum of squared deviations between observations and predictive

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In Example 7.3, assess sensitivity of predictive fit (the sum of squared deviations between observations and predictive replicates) and inferences regarding the diet coefficient \(\beta\) to alternative settings \(Q=k I\) of the prior scale matrix for \(\Sigma_{ho}^{-1}\) under a Wishart prior. For example, a suggestion is to compare the settings \(k=0.001, k=0.1\) and \(k=1\).

Data from Example 7.3

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