Runs posterior checks on model output by comparing the observed data to posterior predictions under the same conditions. Presently, these are only defined for tobit models (m1-m6) and include the root square mean error (RMSE) of predictions after censoring, the total Euclidean distance between all censored predictions and the data, the accuracy of predicted presences and absences given as proportion of correct predictions, and the R-squared statistic of predicted positive abundances against data.
1 | posterior_check(model_output)
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