using-fit-indices: Provides fit indices for different regression models.

In dominanceanalysis: Dominance Analysis

Description

dominanceAnalysis tries to infer, based on the class of the model provided, the appropriate fit indices, using the scheme da.CLASS.fit for name. This method has two interfaces, one for retrieving the names of the fit indices, and another to retrieve the indices based on the data.

Arguments

original.model	Original fitted model
newdata	Data used in update statement
null.model	Null model, only needed for HLM models.
base.cov	Required if only a covariance/correlation matrix is provided.

Details

Interfaces are:

• da.CLASS.fit("names") returns a vector with names for fit indices

• da.CLASS.fit(original.model, data, null.model, base.cov=NULL) returns a function with one parameter, the formula to calculate the submodel.

dominanceanalysis documentation built on Jan. 13, 2021, 3:47 p.m.