These ranges were then applied to inventory data to estimate the range of model-selection uncertainty of live-tree C stores for the study area.
We enhance the lasso metaphor to account for selection uncertainty by introducing a smoothing of the edges.
The relevance of taking model selection uncertainty into account in phylogenetic analyses is clear from our results.
It is important to emphasize that we have only explored one dimension of the model selection uncertainty in multivariate behavior genetic models.
In terms of other parameterizations, irrespective of the selection criterion used, and taking into account LP and model selection uncertainty, UF are preferred of EF models, and the inclusion of at least +I or +G is preferred over models without parameterization of rate heterogeneity among sites.
To account for model selection uncertainty, we averaged the estimates of the coefficients of main effect parameters in each model with ΔAICc ≤2 [29].
In addition, the weights for these models were not high, particularly for the AIC and AICc (see Table 1) indicative of model selection uncertainty.
jModeltest provides two additional evaluation criteria, i.e. dynamical likelihood ratio tests (dLRT) and a decision theory method (DT), as estimates of model selection uncertainty, parameter importance and model-averaged parameter estimates, including model-averaged phylogenies.
IT-based model averaging allows the estimation of confidence intervals that incorporate model estimates of the sampling variance for each model and of the model selection uncertainty.
As an alternative to stepwise procedures, which would have introduced unmanageable noise into our analyses by introducing model selection uncertainty, we computed AIC for each of 726 multiple logistic regression candidate models.
Inclusion of this level of model-selection uncertainty into the FORCARB uncertainty analysis would have likely increased tree C uncertainty and total forest C store uncertainty above the +/-9+/-9%y reported for their base model, perhaps to the point where it would exceed soil uncertainty [21].
