README.md

In fdboost/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 Instructions

• Current version (from CRAN): r install.packages("FDboost")

• Latest patch version (patched version of CRAN package; under development) from GitHub: r library("devtools") install_github("boost-R/FDboost") library("FDboost")

To be able to use the install_github() command, one needs to install devtools first: r install.packages("devtools")

fdboost/FDboost documentation built on May 3, 2024, 11:13 p.m.