BT: (Adaptive) Boosting Trees Algorithm

Performs (Adaptive) Boosting Trees for Poisson distributed response variables, using log-link function. The code approach is similar to the one used in 'gbm'/'gbm3'. Moreover, each tree in the expansion is built thanks to the 'rpart' package. This package is based on following books and articles Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-25820-7> Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-57556-4> Denuit, M., Hainaut, D., Trufin, J. (2019) <doi:10.1007/978-3-030-25827-6> Denuit, M., Hainaut, D., Trufin, J. (2022) <doi:10.1080/03461238.2022.2037016> Denuit, M., Huyghe, J., Trufin, J. (2022) <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A244325/datastream/PDF_01/view> Denuit, M., Trufin, J., Verdebout, T. (2022) <https://dial.uclouvain.be/pr/boreal/fr/object/boreal%3A268577>.

Package details

AuthorGireg Willame [aut, cre, cph]
MaintainerGireg Willame <gireg.willame@gmail.com>
LicenseGPL (>= 3)
Version0.4
URL https://github.com/GiregWillame/BT/
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("BT")

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BT documentation built on Aug. 19, 2023, 5:09 p.m.