Description Usage Arguments Value
View source: R/regularizeMxModel.R
Create a regularized container object that encloses an unregularized mxModel.
1 2 3 4 5 6 7  | summarizeRegularized(
  regFit,
  ...,
  verbose = FALSE,
  penalty_function = "guess",
  epsilon = 1e-06
)
 | 
... | 
 values passed to mxSummarize  | 
verbose | 
 gives more summary feedback  | 
penalty_function | 
 the type of function used for regularization. Default guesses from regularization algebra name  | 
epsilon | 
 how close to zero is close enough? Regularization limits for DF correction  | 
model | 
 the regularized model to summarize  | 
Summary object summarizing the mxModel
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