DESCRIPTION

Package: compboost
Type: Package
Title: C++ Implementation of Component-Wise Boosting
Version: 0.1.1
Authors@R: c(
  person(given = "Daniel", family = "Schalk", email = "daniel.schalk@stat.uni-muenchen.de", 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 <daniel.schalk@stat.uni-muenchen.de>
Description: C++ implementation of component-wise boosting to
  obtain high runtime performance and full memory control. The main
  idea is to provide a modular class system which can be extended
  without editing the source code. Therefore, it is possible to use R
  functions as well as C++ functions for custom base-learners,
  losses, logging mechanisms or stopping criteria.
License: MIT + file LICENSE
Encoding: UTF-8
LazyData: true
RoxygenNote: 6.1.1
Depends:
  R (>= 3.4.0)
Imports:
  Rcpp (>= 0.11.2),
  methods,
  glue,
  R6,
  checkmate
LinkingTo:
  Rcpp,
  RcppArmadillo,
  BH
Suggests:
  RcppArmadillo (>= 0.9.100.5.0),
  ggplot2,
  pkgdown,
  testthat,
  rpart,
  mboost,
  knitr,
  rmarkdown,
  titanic,
  mlr,
  gridExtra
RcppModules:
  baselearner_module,
  compboost_module,
  loss_module,
  baselearner_module,
  baselearner_factory_module,
  baselearner_list_module,
  logger_module,
  optimizer_module,
  data_module
VignetteBuilder: knitr