MuMIn (version 1.6.1)

model.sel: model selection table

Description

Build a model selection table.

Usage

mod.sel(object, ...)
model.sel(object, ...)
## S3 method for class 'model.selection':
mod.sel(object, rank = NULL, rank.args = NULL, ...)
## S3 method for class 'default':
mod.sel(object, ..., rank = NULL, rank.args = NULL)

Arguments

object

A fitted model object, a list of such objects, or a "model.selection" object.

...

More fitted model objects.

rank

Optional, custom rank function (information criterion) to use instead of AICc, e.g. QAIC or BIC, may be omitted if object is a model list returned by get.models.

rank.args

Optional list of arguments for the rank function. If one is an expression, an x within it is substituted with a current model.

Value

• An object of class "model.selection" with columns containing useful information about each model: the coefficients, value of the information criterion used, Delta(IC) and weight.

encoding

utf-8

See Also

dredge

Examples

data(Cement)
Cement$X1 <- cut(Cement$X1, 3)
Cement$X2 <- cut(Cement$X2, 2)

fm1 <- glm(formula = y ~ X1 + X2 * X3, data = Cement)
fm2 <- update(fm1, . ~ . - X1 - X2)
fm3 <- update(fm1, . ~ . - X2 - X3)

# ranked with AICc by default
mod.sel(fm1, fm2, fm3)


# ranked with BIC
mod.sel(fm1, fm2, fm3, rank=AIC, rank.args=alist(k=log(nobs(x))))