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")
install.packages("FDboost", repos = c('https://boost-r.r-universe.dev', 'https://cloud.r-project.org'))