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Generic Function to Extract Model Fit Indices

Source: R/model_fit.R
model_fit.Rd

model_fit() is a generic function designed to extract fit indices from a variety of statistical model objects. It serves as a unified interface for obtaining key fit metrics, which can vary depending on the type of model and the specific method implemented for that model class.

  • Confirmatory Factor Analysis (CFA) and Structural Equation Models (SEM): model_fit.lavaan()

  • Exploratory Factor Analysis (Future): Future methods may include support for models from the psych package.

  • IRT models: Future methods may include support for models from the mirt package.

Usage

model_fit(fit, ...)

Arguments

fit

A model object from which to extract fit indices. The class of this object determines the specific method that will be used. For example, objects of class lavaan will use the method model_fit.lavaan().

...

Additional arguments passed to the specific method for the model class.

Value

A data.frame containing the fit indices of the model. The specific indices returned depend on the model type and the method used.

Details

The model_fit() function is intended to provide a consistent interface for extracting fit indices from various types of models. Methods for specific classes of models should implement the necessary logic to retrieve and return relevant fit indices in a tidy format.

See also

model_fit.lavaan() for lavaan objects