predict.FDboost_fac: Prediction and plotting for factorized FDboost model...

In FDboost: Boosting Functional Regression Models

Prediction and plotting for factorized FDboost model components

Description

Prediction and plotting for factorized FDboost model components

Usage

## S3 method for class 'FDboost_fac'
predict(object, newdata = NULL, which = NULL, ...)

## S3 method for class 'FDboost_fac'
plot(x, which = NULL, main = NULL, ...)

Arguments

object, x	a model-factor given as a FDboost_fac object
newdata	optionally, a data frame or list in which to look for variables with which to predict. See predict.mboost.
which	a subset of base-learner components to take into account for computing predictions or coefficients. Different components are never aggregated to a joint prediction, but always returned as a matrix or list. Select the k-th component by name in the format bl(x, ...)[k] or all components of a base-learner by dropping the index or all base-learners of a variable by using the variable name.
...	additional arguments passed to underlying methods.
main	the plot title. By default, base-learner names are used with component numbers [k].

Value

A matrix of predictions (for predict method) or no return value (plot method)

See Also

[factorize(), factorize.FDboost()]

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