Package: RTFBoost
Title: Robust Tree-Based Boosting for Functional Regression
Version: 0.1.0
Authors@R: 
    c(
      person("Xiaomeng", "Ju",
             role = c("aut", "cre"),
             email = "xiaomengju@uvic.ca"),
      person("Matias", "Salibian-Barrera",
             role = "aut",
             email = "matias@stat.ubc.ca")
    )
Description: Implements a family of robust tree-based boosting methods
        for functional regression, including procedures based on least
        absolute deviation, M-estimation, and MM-estimation. The
        package also includes a non-robust tree-based boosting method
        introduced in Ju X and Salibian-Barrera M. (2024)
        <doi:10.1007/s00180-023-01364-2>. Functions are provided for
        model fitting and prediction in regression settings with
        functional predictors.
License: GPL (>= 3)
Imports: stats, rpart, lme4, splines, RobStatTM
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.3
Suggests: testthat (>= 3.0.0)
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2026-10-16 17:40:18 UTC; root
Author: Xiaomeng Ju [aut, cre], Matias Salibian-Barrera [aut]
Maintainer: Xiaomeng Ju <xiaomengju@uvic.ca>
Depends: R (>= 3.5.0)
Repository: https://cran.r-universe.dev
Date/Publication: 2026-10-16 13:40:15 UTC
RemoteUrl: https://github.com/cran/RTFBoost
RemoteRef: HEAD
RemoteSha: 8a306151279fb31b9950d727a6829a26b8ddae4b