c(
person("Russell", "Goebel", email = "rgoebel@bu.edu", role = "aut"),
person("Robert", "Bowen", email = "robertbowen.bham@gmail.com", role = c("aut", "cre")),
person("Beth Ann", "Brackett", email = "eliannkb@gmail.com", role = "ctb"),
person("Kimihiro", "Noguchi", email = "Kimihiro.noguchi@wwu.edu", role = "aut"),
person("Dylan", "Way", email = "wayd2@wwu.edu", role="aut")
)
Russell Goebel [aut],
Robert Bowen [aut, cre],
Beth Ann Brackett [ctb],
Kimihiro Noguchi [aut],
Dylan Way [aut]

c(person("Michael", "Sieger", role=c("cre","aut"),
email="michael.sieger@student.hswt.de"), person("Georg",
"Ohmayer", role=c("aut", "ths"),
email="georg.ohmayer@hswt.de"), person("Hochschule
Weihenstephan-Triesdorf", role=("cph")))
The VisuClust package provides functions to display
multivariate data, based on Sammon's nonlinear mapping.

Visualisation of Clusters in Multivariate Data
c(person("Michael", "Sieger", role=c("cre","aut"),
email="sieger-michael@web.de"), person("Georg",
"Ohmayer", role=c("aut", "ths"),
email="georg.ohmayer@hswt.de"), person("Hochschule
Weihenstephan-Triesdorf", role=("cph")))
Michael Sieger [cre, aut], Georg Ohmayer [aut, ths], Hochschule Weihenstephan-Triesdorf [cph]
Displays multivariate data, based on Sammon's nonlinear mapping.

Visualize Downloads from 'CRAN' Packages
Visualize the trends and historical downloads from packages in the 'CRAN' repository. Data is obtained by using the 'API' to query the database from the 'RStudio' 'CRAN' mirror.
graphics, stats, cranlogs, plotly, htmlwidgets
knitr, devtools, roxygen2, testthat, rmarkdown

Functions for visualizing the probabilities of early
termination, fail and success of Simon's two-stage design.
Functions for evaluating and visualizing the operating
characteristics of Simon's two-stage design.

c(person(given = "Tingting", family = "Zhan", role = c("aut",
"cre", "cph"), email = c("tingtingzhan@gmail.com")))

Nimrod generates a Latin Hypercube Design using the
emulator package. Based on this design, any function can be
evaluated on the design points. A generalisation of the
Nimrod/O test case is included. A Gaussian model can be fit to
the data using the mlegp package. The resulting surface can be
viewed using a wireframe plot with choice of viewing and
conditioning variables and levels.