using-fit-indices | R Documentation |
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.
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. |
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.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.