Packaged: 2017-11-29 19:33:51 UTC; josephwood

Packaged: 2017-12-14 17:44:31 UTC; josephwood

There are optional contraint parameters that when utilized, generate
bound). Both functions are capable of handling mulitsets as well.
Additionally, there are various sieving functions that quickly
factorizations, and complete factorizations for many numbers as
Packaged: 2017-12-18 04:46:58 UTC; josephwood

There are optional constraint parameters that when utilized, generate
mathematics (E.g. number of coprime elements, divisors, prime
Suggests: testthat, gmp (>= 0.5-1), numbers (>= 0.6-6)
Packaged: 2018-01-04 12:20:40 UTC; josephwood

Title: 'Rcpp' Bindings for 'Annoy', a Library for Approximate Nearest
Description: 'Annoy' is a small C++ library for Approximate Nearest Neighbors
written for efficient memory usage as well an ability to load from / save to
disk. This package provides an R interface by relying on the 'Rcpp' package,
exposing the same interface as the original Python wrapper to 'Annoy'. See
<https://github.com/spotify/annoy> for more on 'Annoy'. 'Annoy' is released
under Version 2.0 of the Apache License. Also included is a small Windows
port of 'mmap' which is released under the MIT license.

Title: Rcpp Bindings for Annoy, a Library for Approximate Nearest
Description: Annoy is a small C++ library for Approximate Nearest Neighbors
disk. This package provides an R interface by relying on the Rcpp and BH
packages, exposing the same interface as the original Python wrapper to
Annoy. See https://github.com/spotify/annoy for more on Annoy. Annoy is
released under Version 2.0 of the Apache License.

released under Version 2.0 of the Apache License. Also included is a small
Windows port of mmap which is release under the MIT license.

Windows port of mmap which is released under the MIT license.

Author: Romain Francois and Dirk Eddelbuettel
Description: R and Armadillo integration using Rcpp Armadillo is a C++
linear algebra library aiming towards a good balance between
speed and ease of use. Integer, floating point and complex
numbers are supported, as well as a subset of trigonometric and
statistics functions. Various matrix decompositions are
provided through optional integration with LAPACK and ATLAS
A delayed evaluation approach is employed (during compile time) to
combine several operations into one and reduce (or eliminate)
the need for temporaries. This is accomplished through
recursive templates and template meta-programming.
This library is useful if C++ has been decided as the language of
choice (due to speed and/or integration capabilities), rather
This Armadillo / C integration provides a nice illustration of the
capabilities of the Rcpp package for seamless R and C++