MuMIn (version 1.9.5)

get.models: Get models

Description

Generate a list of fitted model objects from a model.selection table. pget.models can use paralell computation in a cluster to do that.

Usage

get.models(object, subset, ...)
pget.models(object, cluster = NA, subset, ...)

Arguments

object

object returned by dredge.

subset

subset of models, an expression evaluated within the model selection table, see the subset method. If it is a character vector, it is interpreted as names of rows to be selected. By defa

...

additional arguments to update the models. For example, in lme one may want to use method = "REML" while using "ML" for model selection.

cluster

a cluster object. See pdredge for details.

Value

• list of fitted model objects.

encoding

utf-8

See Also

dredge, model.avg

Examples

# Mixed models:

require(nlme)
fm2 <- lme(distance ~ age + Sex, data = Orthodont,
    random = ~ 1 | Subject, method = "ML")
ms2 <- dredge(fm2)

# Get top-most models, but fitted by REML:
(confset.d4 <- get.models(ms2, subset = delta < 4, method = "REML"))