README.md

In boost-R/FDboost: Boosting Functional Regression Models

FDboost

FDboost Boosting Functional Regression Models.

The package FDboost fits regression models for functional data, i.e., scalar-on-function, function-on-scalar, and function-on-function regression models, by a component-wise gradient boosting algorithm. Furthermore, it can be used to fit density-on-scalar regression models.

Using FDboost

For installation instructions see below.

Instructions on how to use FDboost can be found in various places:

• Read the tutorial paper doi:10.18637/jss.v094.i10
• Have a look at the manual, which also contains example code
• Check the vignettes:
• function-on-function regression
• scalar-on-function regression
• function-on-scalar regression
• density-on-scalar regression

Issues & Feature Requests

For issues, bugs, feature requests etc. please use the GitHub Issues.

Installation

Install the last release from CRAN:

install.packages("FDboost")

Install the development version from GitHub:

# install.packages("pak")
pak::pak("boost-R/FDboost")

boost-R/FDboost documentation built on June 2, 2025, 6:21 a.m.