Title: Fast Pseudo Random Number Generators
person("Ralf", "Stubner", email = "ralf.stubner@daqana.com", role = c("aut", "cre")),
person("Melissa O'Neill", email = "oneill@pcg-random.org", role = "ctb"),
person("Sebastiano Vigna", email = "vigna@acm.org", role = "ctb")
Description: Several fast random number generators are provided as C++
header only libraries: The PCG family by O'Neill (2014
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 64 bit version of the Mersenne-Twister by
default 64 bit generator from the PCG family as well as Xoroshiro128+

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.,

person("Sebastiano Vigna", email = "vigna@acm.org", role = "ctb"),
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

person("Ralf", "Stubner", email = "ralf.stubner@gmail.com", role = c("aut", "cre")),

Title: Enhance Shiny Apps with Customizable Modules
Description: 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
Suggests: testthat, extrafont, ggplot2, jsonlite, rhandsontable, V8,
Packaged: 2018-11-12 14:50:28 UTC; richardkunze

Packaged: 2019-01-29 13:18:49 UTC; richardkunze

Packaged: 2019-02-05 13:54:52 UTC; richardkunze

Package: dr
Version: 1.0.1
Date:  2002/08/13
Title: Methods for dimension reduction for regression
Author: Sanford Weisberg <sandy@stat.umn.edu>,
Maintainer: Sanford Weisberg <sandy@stat.umn.edu>
Description: 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.
License: GPL version 2 or newer
URL: http://www.r-project.org