Provides deep boosting models training, evaluation, predicting and
hyper parameter optimising using grid search and cross validation.
Based on Google's Deep Boosting algorithm, and Google's C++ implementation.
Cortes, C., Mohri, M., & Syed, U. (2014) <http://machinelearning.wustl.edu/mlpapers/papers/icml2014c2_cortesb14>.

Visualise and Explore the Deep Dependencies of R Packages
c(person("Dominik", "Rafacz", email = "dominikrafacz@gmail.com",
role = c("aut", "cre")),
person("Hubert", "Baniecki", role = c("aut")),
person("Szymon", "Maksymiuk", role = c("aut")),
person("Mateusz", "Bakala", role = c("aut")))
Provides the tools for exploration of package dependencies.
Main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way.
It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package.
Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <http://bioconductor.org>.
Other data acquire functions are: get_dependencies(), get_downloads() and get_description().
The deepdep_shiny() function runs shiny application that helps to produce nice 'deepdep' plot.
cranlogs, ggforce, ggplot2, ggraph, graphlayouts, httr,
igraph, jsonlite, scales
BiocManager, shiny, shinycssloaders, covr, devtools, knitr,
miniCRAN, plyr, rmarkdown, spelling, stringi, testthat (>=
2.1.0)
Dominik Rafacz [aut, cre],
Hubert Baniecki [aut],
Szymon Maksymiuk [aut],
Mateusz Bakala [aut]

Provides tools for exploration of R package dependencies.
The main deepdep() function allows to acquire deep dependencies of any package and plot them in an elegant way.
It also adds some popularity measures for the packages e.g. in the form of download count through the 'cranlogs' package.
Uses the CRAN metadata database <http://crandb.r-pkg.org> and Bioconductor metadata <http://bioconductor.org>.
Other data acquire functions are: get_dependencies(), get_downloads() and get_description().
The deepdep_shiny() function runs shiny application that helps to produce a nice 'deepdep' plot.