c(
person("Ralf", "Stubner", email = "ralf.stubner@daqana.com", role = c("aut", "cre")),
person("daqana GmbH", role = "cph"),
person("David Blackman", role = "ctb"),
person("Melissa O'Neill", email = "oneill@pcg-random.org", role = "ctb"),
person("Sebastiano Vigna", email = "vigna@acm.org", role = "ctb"),
person("Aaron", "Lun", role="ctb")
)
Several fast random number generators are provided as C++
header only libraries: The PCG family by O'Neill (2014
<https://www.cs.hmc.edu/tr/hmc-cs-2014-0905.pdf>) as well as
Xoroshiro128+ and Xoshiro256+ by Blackman and Vigna (2018
<arXiv:1805.01407>). In addition fast functions for generating random
numbers according to a uniform, normal and exponential distribution
are included. The latter two use the Ziggurat algorithm originally
proposed by Marsaglia and Tsang (2000, <doi:10.18637/jss.v005.i08>).
These functions are exported to R and as a C++ interface and are
enabled for use with the default 64 bit generator from the PCG family,
Xoroshiro128+ and Xoshiro256+ as well as the 64 bit version of the 20 rounds
Threefry engine (Salmon et al., 2011 <doi:10.1145/2063384.2063405>) as
provided by the package 'sitmo'.
Ralf Stubner [aut, cre],
daqana GmbH [cph],
David Blackman [ctb],
Melissa O'Neill [ctb],
Sebastiano Vigna [ctb],
Aaron Lun [ctb]

c(
person("Ralf", "Stubner", email = "ralf.stubner@gmail.com", role = c("aut", "cre")),
person("daqana GmbH", role = "cph"),
person("David Blackman", role = "ctb"),
person("Melissa O'Neill", email = "oneill@pcg-random.org", role = "ctb"),
person("Sebastiano Vigna", email = "vigna@acm.org", role = "ctb"),
person("Aaron", "Lun", role="ctb")
)

Enhance Shiny Apps with Customizable Modules
Provides highly customizable modules to enhance your shiny apps.
Includes layout independent collapsible boxes and value boxes, a very fast
autocomplete input, rhandsontable extensions for filtering and paging and
much more.
testthat, extrafont, ggplot2, jsonlite, rhandsontable, V8,
htmlwidgets, shinytest

Methods for dimension reduction for regression
Functions, methods, and datasets for fitting dimension
reduction regression, including pHd and inverse regression methods
SIR and SAVE.  These methods are described, for example, in
R. D. Cook (1998), Regression Graphics, Wiley, New York.  Also included is
code for computing permutation tests of dimension.  Adding additional
methods of estimating dimension is straightforward.  One function depends
on the lqs package.  Minor revision to be compatible with R 1.6, and one
bug-fix.