postProcessEMLasso: Postprocess EMLasso (e.g. add extra members or change class)

In EMLasso: Fit (logistic) LASSO when there is missing data in the predictors

Description

Postprocess EMLasso (e.g. add extra members or change class)

Usage

  postProcessEMLasso(predictorModel, retval, verbosity = 0)

  ## S3 method for class 'GLoMo'
postProcessEMLasso(predictorModel,
    retval, verbosity=0)

  ## Default S3 method:
postProcessEMLasso(predictorModel,
    retval, verbosity=0)

Arguments

predictorModel	the final predictor model will be passed in here (e.g. GLoMo object)
retval	the return value of EMLasso.1l to be postprocessed
verbosity	The higher this value, the more levels of progress and debug information is displayed (note: in R for Windows, turn off buffered output)

Details

This function is (typically) called at the end of EMLasso and may alter the class of the end result and/or add some more items to the list. In the case of the GLoMo implementation, it adds the classnames extended with "GLoMo" and provides the combinedGLoMo item (see combineGLoMos)

Value

Typically the passed along retval object with optionally some more items/class/attributes

Author(s)

Nick Sabbe [e-mail]

See Also

EMLasso.1l

EMLasso documentation built on May 2, 2019, 5:49 p.m.