Title: 'RStudio' Add-in to Insert Markdown Citations
Description: Functions and an 'RStudio' add-in that search a 'BibTeX'-file to create and
person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre")),
Imports: RefManageR (>= 0.11.0), yaml (>= 2.1.13), rstudioapi (>= 0.6),
Packaged: 2016-09-20 09:08:14 UTC; frederikaust

Description: Functions and an 'RStudio' add-in that search a 'Bib(La)TeX'-file to create and
person("Frederik", "Aust", email = "frederik.aust@uni-koeln.de", role = c("aut", "cre"), comment = c(ORCID = "0000-0003-4900-788X")),
person("Robin", "Lovelace", role = "ctb"),
person("Garrick", "Aden-Buie", role = "ctb")
shinyjs (>= 1.0), assertthat (>= 0.1), methods (>= 3.0.0), curl
Packaged: 2018-12-18 19:46:06 UTC; frederikaust
Author: Frederik Aust [aut, cre] (<https://orcid.org/0000-0003-4900-788X>),

Description: Functions and an 'RStudio' add-in that search 'Bib(La)TeX'-files or
'Zotero' libraries (via the 'Better BibTeX' plugin) to insert formatted Markdown
Imports: RefManageR (>= 0.14.2), yaml (>= 2.1.13), rstudioapi (>= 0.6),
Packaged: 2019-08-06 05:54:20 UTC; frederikaust

Packaged: 2019-08-19 07:54:24 UTC; frederikaust

Title: Customer Intelligence Tool for Rapid Understandable Segmentation
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"),
Description: 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.
Imports: ggplot2, GGally, clustMixType (>= 0.1-16), treeClust, rpart,
tibble, rpart.plot, rpart.utils, stringr, dplyr, RColorBrewer,
Packaged: 2021-11-16 11:47:11 UTC; oskarnummedal