using-fit-indices: Provides fit indices for different regression models.
In clbustos/dominanceAnalysis: Dominance Analysis
using-fit-indices R Documentation
Provides fit indices for different regression models.
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.
clbustos/dominanceAnalysis documentation built on March 8, 2024, 5:22 a.m.
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| using-fit-indices | R Documentation |
Provides fit indices for different regression models.
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.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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