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

In Almond-S/manifoldboost: Boosting Regression Models for Manifold Valued Data

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, ...)

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 i-th component by name in the format 'bl(x, ...)i' 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 predict.FDboost() or predict.mboost().

Almond-S/manifoldboost documentation built on June 23, 2022, 11:06 a.m.