c(
person("Taiyun", "Wei", email = "weitaiyun@gmail.com", role = c("cre", "aut")),
person("Viliam", "Simko", email = "viliam.simko@gmail.com", role = "aut"),
person("Michael", "Levy", email = "michael.levy@healthcatalyst.com", role = "ctb"),
person("Yihui", "Xie", email = "xie@yihui.name", role = "ctb"),
person("Yan", "Jin", email = "jyfeather@gmail.com", role = "ctb"),
person("Jeff", "Zemla", email = "zemla@wisc.edu", role = "ctb"),
person("Moritz", "Freidank", email = "freidankm@googlemail.com", role = "ctb"),
person("Jun", "Cai", email = "cai-j12@mails.tsinghua.edu.cn", role = "ctb"),
person("Tomas", "Protivinsky", email = "tomas.protivinsky@gmail.com", role = "ctb")
)
Taiyun Wei [cre, aut],
Viliam Simko [aut],
Michael Levy [ctb],
Yihui Xie [ctb],
Yan Jin [ctb],
Jeff Zemla [ctb],
Moritz Freidank [ctb],
Jun Cai [ctb],
Tomas Protivinsky [ctb]

knitr, RColorBrewer, rmarkdown, prettydoc, testthat

c(
person('Taiyun', 'Wei', email = 'weitaiyun@gmail.com', role = c('cre', 'aut')),
person('Viliam', 'Simko', email = 'viliam.simko@gmail.com', role = 'aut'),
person('Michael', 'Levy', email = 'michael.levy@healthcatalyst.com', role = 'ctb'),
person('Yihui', 'Xie', email = 'xie@yihui.name', role = 'ctb'),
person('Yan', 'Jin', email = 'jyfeather@gmail.com', role = 'ctb'),
person('Jeff', 'Zemla', email = 'zemla@wisc.edu', role = 'ctb'),
person('Moritz', 'Freidank', email = 'freidankm@googlemail.com', role = 'ctb'),
person('Jun', 'Cai', email = 'cai-j12@mails.tsinghua.edu.cn', role = 'ctb'),
person('Tomas', 'Protivinsky', email = 'tomas.protivinsky@gmail.com', role = 'ctb')
)
seriation, knitr, RColorBrewer, rmarkdown, magrittr,
prettydoc, testthat
Provides a visual exploratory tool on correlation matrix that supports automatic variable reordering to help detect hidden patterns among variables.

A tool for exploring correlations.
It makes it possible to easily perform routine tasks when
exploring correlation matrices such as ignoring the diagonal,
focusing on the correlations of certain variables against others,
or rearranging and visualising the matrix in terms of the
strength of the correlations.
c(
person("Simon", "Jackson", email = "drsimonjackson@gmail.com", role = c("aut", "cre"))
)