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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