c(
person("Ryan", "Hafen", email = "rhafen@gmail.com", role = c("aut", "cre")),
person("Kenton", "Russell", email = "kent.russell@timelyportfolio.com", role = "ctb"),
person("Jonathan", "Owen", email = "jonathanro@gmail.com", role = "ctb"),
person("Barret", "Schloerke", email = "schloerke@gmail.com", role = "ctb"),
person("Saptasrhi", "Guha", email = "saptarshi.guha@gmail.com", role = "ctb"),
person("Continuum Analytics, Inc.", role = c("aut", "cph"),
comment = "Bokeh library in htmlwidgets/lib, https://bokeh.pydata.org"
))
A native R plotting library that provides a flexible declarative interface for creating interactive web-based graphics, backed by the Bokeh visualization library <https://bokeh.pydata.org/>.
testthat, data.table, lattice, lintr, roxygen2 (>= 5.0.0),
latticeExtra, knitr, rmarkdown
Ryan Hafen [aut, cre],
Kenton Russell [ctb],
Jonathan Owen [ctb],
Barret Schloerke [ctb],
Saptasrhi Guha [ctb],
Continuum Analytics, Inc. [aut, cph] (Bokeh library in htmlwidgets/lib,
https://bokeh.pydata.org)

htmlwidgets (>= 0.5), maps, methods, jsonlite, digest, hexbin,
lazyeval, pryr, magrittr, scales, gistr
testthat, data.table, lattice, lintr, roxygen2 (>= 5.0.0),
latticeExtra, knitr, rmarkdown, markdown

c(person("Fatih", "Saglam", email = "fatih.saglam@omu.edu.tr", role = c("aut", "cre"), comment = c(ORCID = "0000-0002-2084-2008")),
person("Hasan", "Bulut", email = "hasan.bulut@omu.edu.tr", role = c("ctb")))
This is a simple package which provides a function
that boosts pre-ready or custom-made classifiers. Package
uses Discrete AdaBoost (<doi:10.1006/jcss.1997.1504>) for two class,
SAMME (<doi:10.4310/SII.2009.v2.n3.a8>) for multiclass classification.
Fatih Saglam [aut, cre] (<https://orcid.org/0000-0002-2084-2008>),
Hasan Bulut [ctb]

c(person("Fatih", "Saglam", email = "fatih.saglam@omu.edu.tr", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-2084-2008")),
person("Hasan", "Bulut", email = "hasan.bulut@omu.edu.tr", role = c("ctb")))
This is a simple package which provides a function
that boosts pre-ready or custom-made classifiers. Package
uses Discrete AdaBoost (<doi:10.1006/jcss.1997.1504>) and Real AdaBoost
(<doi:10.1214/aos/1016218223>) for two class,
SAMME (<doi:10.4310/SII.2009.v2.n3.a8>) and
SAMME.R (<doi:10.4310/SII.2009.v2.n3.a8>)
for multiclass classification.