FDboost
Boosting Functional Regression Models
Regression models for functional data, i.e., scalar-on-function, function-on-scalar and function-on-function regression models, are fitted by a component-wise gradient boosting algorithm. For a manual on how to use 'FDboost', see Brockhaus, Ruegamer, Greven (2017) <doi:10.18637/jss.v094.i10>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1-4 |
rolling linux/jammy R-4.5 | FDboost_1.1-4.tar.gz |
3.3 MiB |
1.1-4 |
rolling linux/noble R-4.5 | FDboost_1.1-4.tar.gz |
3.3 MiB |
1.1-4 |
rolling source/ R- | FDboost_1.1-4.tar.gz |
2.9 MiB |
1.1-4 |
latest linux/jammy R-4.5 | FDboost_1.1-4.tar.gz |
3.3 MiB |
1.1-4 |
latest linux/noble R-4.5 | FDboost_1.1-4.tar.gz |
3.3 MiB |
1.1-4 |
latest source/ R- | FDboost_1.1-4.tar.gz |
2.9 MiB |
1.1-4 |
2026-04-26 source/ R- | FDboost_1.1-4.tar.gz |
2.9 MiB |
1.1-4 |
2026-04-23 source/ R- | FDboost_1.1-4.tar.gz |
2.9 MiB |
1.1-4 |
2026-04-09 windows/windows R-4.5 | FDboost_1.1-4.zip |
3.3 MiB |
1.1-2 |
2025-04-20 source/ R- | FDboost_1.1-2.tar.gz |
2.9 MiB |