DESCRIPTION

Package: compboost
Type: Package
Title: Efficient Component-Wise Boosting Implementation
Version: 0.1.2
Authors@R: c(
  person(given = "Daniel", family = "Schalk", email = "schalkdaniel242@gmail.com", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-0950-1947")),
  person(given = "Janek", family = "Thomas", email = "janek.thomas@stat.uni-muenchen.de", role = "aut", comment = c(ORCID = "0000-0003-4511-6245")),
  person(given = "Bernd", family = "Bischl", email = "bernd_bischl@gmx.net", role = "aut", comment = c(ORCID = "0000-0001-6002-6980")))
Maintainer: Daniel Schalk <schalkdaniel242@gmail.com>
Description: Efficient implementation of component-wise gradient boosting
  (Buehlmann, P., Hothorn, T. (2007) <doi:10.1214/07-STS242>).
  The package applies the boosting framework to statistical models, e.g.,
  general additive models using component-wise smoothing splines.
  Boosting these kinds of base components enables interpretation of the
  model and enables (unbiased) model selection in high-dimensional feature spaces
  (Hofner et al. (2011) <doi:10.1198/jcgs.2011.09220>).
License: LGPL (>= 3)
Copyright: inst/COPYRIGHTS file
URL: https://danielschalk.com/compboost/, https://github.com/schalkdaniel/compboost/
BugReports: https://github.com/schalkdaniel/compboost/issues/
Encoding: UTF-8
LazyData: true
Roxygen: list(markdown = TRUE, r6 = TRUE)
RoxygenNote: 7.2.3
Depends:
  R (>= 3.4.0)
Imports:
  Rcpp (>= 0.11.2),
  methods,
  R6,
  checkmate,
  Matrix,
  mlr3
LinkingTo:
  Rcpp,
  RcppArmadillo,
  BH
Suggests:
  RcppArmadillo (>= 0.9.100.5.0),
  ggplot2 (>= 3.3.0),
  pkgdown,
  testthat,
  rpart,
  mboost,
  knitr,
  rmarkdown,
  titanic,
  gridExtra,
  ggrepel,
  ggthemes,
  ggsci,
  patchwork,
  covr
RcppModules:
  baselearner_module,
  compboost_module,
  loss_module,
  baselearner_module,
  baselearner_factory_module,
  baselearner_list_module,
  logger_module,
  optimizer_module,
  data_module
VignetteBuilder: knitr