person("Kimihiro", "Noguchi", email = "Kimihiro.noguchi@wwu.edu", role = "aut"),
person("Dylan", "Way", email = "wayd2@wwu.edu", role="aut")

Author: Michael Sieger and Dr. Georg Ohmayer
Description: The VisuClust package provides functions to display
multivariate data, based on Sammon's nonlinear mapping.

Title: Visualisation of Clusters in Multivariate Data
Author: Michael Sieger [cre, aut], Georg Ohmayer [aut, ths], Hochschule Weihenstephan-Triesdorf [cph]
Description: Displays multivariate data, based on Sammon's nonlinear mapping.

Title: Visualize Downloads from 'CRAN' Packages
Description: 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.
Imports: graphics, stats, cranlogs, plotly, htmlwidgets
Suggests: knitr, devtools, roxygen2, testthat, rmarkdown

Suggests: knitr, devtools, roxygen2, testthat

Title: Visualize Simon's Two-Stage Design
Description: 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.

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

Depends: R (>= 2.10.1), lattice, emulator, mlegp
Description: 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

Title: Graphical visualization tools for complex observational data
Maintainer: David C. Norris <david@UnusualSolutionsThatWork.com>
Description: Provides individual- and aggregate-level graphical depictions of
patterns of treatment and response in patient registries, and a graphical
tool for examining potential for confounding in analyses of observational