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. 2008 Jun;179(2):1101–1112. doi: 10.1534/genetics.107.084160

TABLE 2.

Model choice parameters for the Scots pine data

Diameter (×105)
Height (×105)
Model for y Gm Pm Dm AIC Gm Pm Dm AIC
Inline graphic 46.45 47.75 94.20 0.18492 84.01 86.59 170.6 0.09909
Inline graphic 41.67 46.95 88.63 0.18378 61.10 79.86 140.9 0.09498
Inline graphic 41.61 46.07 87.68 0.18361 49.04 78.95 128.0 0.09473

A lower posterior predictive loss statistic Inline graphic indicates a better model. Inline graphic is a goodness-of-fit term, whereas Inline graphic is a penalty term. AIC is the standard Akaike's information criterion (calculated as number of fixed-effect classes plus number of variance components).