FDboost_fac-class

<p>Model factorization with `factorize()` decomposes an
`FDboost` model into two objects of class `FDboost_fac` - one for the
response and one for the covariate predictor. The first is essentially
an `FDboost` object and the second an `mboost` object, however,
in a 'read-only' mode and slightly adjusted methods (method defaults).</p>

Regression models for functional data, i.e., scalar-on-function,
function-on-scalar and function-on-function regression models, are fitted
by a component-wise gradient boosting algorithm.
For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.

David Ruegamer

FDboost

Boosting Functional Regression Models

Sarah Brockhaus

Almond Stoecker

Torsten Hothorn

with contributions by many others (see inst/CONTRIBUTIONS)

FDboost_fac-class function

`FDboost_fac` S3 class for factorized FDboost model components — FDboost_fac-class

`FDboost_fac` S3 class for factorized FDboost model components

FDboost_fac-class: `FDboost_fac` S3 class for factorized FDboost model components

Description

Arguments

See Also