Robust multivariate classification using highly optimised SVM
ensembles
Eleni Chatzimichali <ea.chatzimichali@gmail.com> and Conrad Bessant <c.bessant@qmul.ac.uk>
A collection of functions for the creation and application of highly optimised, robustly evaluated ensembles of support vector machines (SVMs). The package takes care of training individual SVM classifiers using a fast parallel heuristic algorithm, and combines individual classifiers into ensembles. Robust metrics of classification performance are offered by bootstrap resampling and permutation testing.

R Interface to the ClassyFire RESTful API
c(
person("Tom", "Wilson", , "tpw2@aber.ac.uk", c("aut", "cre")))
Access to the ClassyFire RESTful API <http://classyfire.wishartlab.com>. Retrieve existing entity classifications and submit new entities for classification.
httr, jsonlite, tibble, crayon, clisymbols

httr, jsonlite, tibble, crayon, clisymbols, purrr, dplyr,
stringr

c(
person("Tom", "Wilson", , "tpw2@aber.ac.uk", c("aut", "cre")),
person("Jasen", "Finch", , "jsf9@aber.ac.uk", "aut"))
Tom Wilson [aut, cre],
Jasen Finch [aut]

c(
person("Tom", "Wilson", , "tpw2@aber.ac.uk", c("aut", "cre"),  comment = c(ORCID = "0000-0003-3112-4682")),
person("Jasen", "Finch", , "jsf9@aber.ac.uk", "aut"))
Tom Wilson [aut, cre] (<https://orcid.org/0000-0003-3112-4682>),
Jasen Finch [aut]

httr, jsonlite, tibble, crayon, clisymbols, cli, purrr, dplyr,
stringr, methods
'allGenerics.R' 'allClasses.R' 'accessor-methods.R'
'get_classification.R' 'internals.R' 'show-method.R' 'zzz.R'

c(
person("Tom", "Wilson", , "tpw2@aber.ac.uk", c("aut", "cre"),  comment = c(ORCID = "0000-0003-3112-4682")),
person("Jasen", "Finch", , "jsf9@aber.ac.uk", "aut"),
person("Gordon", "Getzinger", ,"gordon.getzinger@duke.edu", "ctb"))
httr, jsonlite, tibble, crayon, clisymbols, cli, purrr, dplyr,
stringr, methods, rjson, tidyjson, tidyr
'allGenerics.R' 'allClasses.R' 'accessor-methods.R'
'get_classification.R' 'internals.R' 'query.R' 'show-method.R'
'zzz.R'
Tom Wilson [aut, cre] (<https://orcid.org/0000-0003-3112-4682>),
Jasen Finch [aut],
Gordon Getzinger [ctb]