c(person(given = "Christian",
family = "Amesöder",
role = c("aut", "cre"),
email = "Christian.Amesoeder@stud.uni-regensburg.de"),
person(given = "Maximilian",
family = "Pichler",
role = c("aut"),
email = "maximilian.pichler@ur.de")
)
Building and training custom neural networks in the typical R syntax. The 'torch' package is used for numerical calculations, which allows for training on CPU as well as on a graphics card.
rmarkdown, knitr, testthat, plotly, ggraph, igraph, stats,
ggplot2
Christian Amesöder [aut, cre],
Maximilian Pichler [aut]

RStudio Add-in to Insert Markdown Citations
Functions and an RStudio add-in to search a BibTeX-file to create and
insert formatted Markdown citations into the current document.
person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre"))

'RStudio' Add-in to Insert Markdown Citations
Functions and an 'RStudio' add-in that search a 'BibTeX'-file to create and
insert formatted Markdown citations into the current document.
c(
person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre")),
person("Yihui", "Xie", role = "ctb")
)
Frederik Aust [aut, cre],
Yihui Xie [ctb]

Functions and an 'RStudio' add-in that search a 'Bib(La)TeX'-file to create and
insert formatted Markdown citations into the current document.
c(
person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4900-788X")),
person("Yihui", "Xie", role = "ctb"),
person("Robin", "Lovelace", role = "ctb"),
person("Garrick", "Aden-Buie", role = "ctb")
)
Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>),
Yihui Xie [ctb],
Robin Lovelace [ctb],
Garrick Aden-Buie [ctb]

Functions and an 'RStudio' add-in that search 'Bib(La)TeX'-files or
'Zotero' libraries (via the 'Better BibTeX' plugin) to insert formatted Markdown
citations into the current document.

Customer Intelligence Tool for Rapid Understandable Segmentation
c(
person("Dom","Clarke", email = "dom.clarke@peak.ai", role = c("aut", "cre")),
person("Cinzia","Braglia",email = "cinzia.braglia@peak.ai",role = "aut"),
person("Oskar","Nummedal",email = "oskar.nummadel@peak.ai",role = "aut"),
person("Leo", "McCarthy",email = "leo.mccarthy@peak.ai", role = "aut"),
person("Rebekah", "Yates",email = "rebekah.yates@peak.ai", role = "aut"),
person("Joash","Alonso",role = "aut"),
person("PEAK AI LIMITED", role = "cph")
)
A tool to easily run and visualise supervised and unsupervised state of the art customer segmentation.
It is built like a pipeline covering the 3 main steps in a segmentation project: pre-processing, modelling, and plotting.
Users can either run the pipeline as a whole, or choose to run any one of the three individual steps.
It is equipped with a supervised option (tree optimisation) and an unsupervised option (k-clustering) as default models.
ggplot2, GGally, clustMixType (>= 0.1-16), treeClust, rpart,
tibble, rpart.plot, rpart.utils, stringr, dplyr, RColorBrewer,
rlang
Dom Clarke [aut, cre],
Cinzia Braglia [aut],
Oskar Nummedal [aut],
Leo McCarthy [aut],
Rebekah Yates [aut],
Joash Alonso [aut],
PEAK AI LIMITED [cph]