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get.models 15<br />
get.models Get models<br />
Description<br />
Usage<br />
Generate a list of fitted model objects from a model.selection table. pget.models can use paralell<br />
computation in a cluster to do that.<br />
get.models(object, subset, ...)<br />
pget.models(object, cluster = NA, subset, ...)<br />
Arguments<br />
Value<br />
Note<br />
object object returned by dredge.<br />
subset subset of models, an expression evaluated within the model selection table, see<br />
the subset method. If it is a character vector, it is interpreted as names of rows<br />
to be selected. By default, all model objects are fitted and returned (see ‘Note’).<br />
... additional arguments to update the models. For example, in lme one may want<br />
to use method = "REML" while using "ML" for model selection.<br />
cluster a cluster object. See pdredge for details.<br />
list of fitted model objects.<br />
As of version 1.6.3, the default behaviour (if subset argument is missing) is to return all the models,<br />
rather than a ‘confidence set’ with delta
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