extract.blg: Extract information of a base-learner

In FDboost: Boosting Functional Regression Models

Extract information of a base-learner

Description

Takes a base-learner and extracts information.

Usage

## S3 method for class 'blg'
extract(
  object,
  what = c("design", "penalty", "index"),
  asmatrix = FALSE,
  expand = FALSE,
  ...
)

Arguments

object	a base-learner
what	a character specifying the quantities to extract. This can be a subset of "design" (default; design matrix), "penalty" (penalty matrix) and "index" (index of ties used to expand the design matrix)
asmatrix	a logical indicating whether the the returned matrix should be coerced to a matrix (default) or if the returned object stays as it is (i.e., potentially a sparse matrix). This option is only applicable if extract returns matrices, i.e., what = "design" or what = "penalty".
expand	a logical indicating whether the design matrix should be expanded (default: FALSE). This is useful if ties were taken into account either manually (via argument index in a base-learner) or automatically for data sets with many observations. expand = TRUE is equivalent to extract(B)[extract(B, what = "index"),] for a base-learner B.
...	currently not used

See Also

extract for the extract function of the package mboost.

FDboost documentation built on Aug. 12, 2023, 5:13 p.m.