Description: This package provides access to some of the C level
In its current state, the package is mostly a proof-of-concept to
support adding useful functions, and does not yet add any of

Title: Interface the 'xts' API via 'Rcpp'
Description: Access to some of the C level functions of the 'xts' package.
In its current state, the package is mostly a proof-of-concept to support
adding useful functions, and does not yet add any of its own.

Title: Rcpp integration of different Ziggurat Normal RNG
Description: The Ziggurat generator for normally distributed random numbers,
originally proposed by Marsaglia and Tsang (JSS, 2000), has been improved
upon a few times starting with Leong et al (JSS, 2005). This package provides
an aggregation in order to compare different implementations. The goal is to
provide an 'faster but good enough' alternative for use with R and C++ code.
The package is currently in alpha state. Unless you know what you are doing,
stick with generators provided by R which have been extremely diligently tested.

Suggests: highlight, rbenchmark, microbenchmark, lattice

The package is still in an early state. Unless you know what you are doing,
sticking with the generators provided by R may be a good idea as these have

Title: 'Rcpp' Integration of Different "Ziggurat" Normal RNG
Imports: Rcpp, parallel, graphics, stats, utils

Suggests: rbenchmark, microbenchmark, lattice, knitr, rmarkdown, pinp

Description: The Ziggurat generator for normally distributed random
numbers, originally proposed by Marsaglia and Tsang (2000,
<doi:10.18637/jss.v005.i08>) has been improved upon a few times
starting with Leong et al (2005, <doi:10.18637/jss.v012.i07>).
This package provides an aggregation in order to compare different
implementations in order to provide an 'faster but good enough'
alternative for use with R and C++ code.

Authors@R: person("Salim", "Khalil", email = "khalilsalim1@gmail.com",
Description: Performs parallel web crawling and web scraping. It is designed to crawl, parse and store web pages to produce data that can be directly used for analysis application. For details see Khalil and Fakir (2017) <DOI:10.1016/j.softx.2017.04.004>.
Imports: httr, rJava, xml2, data.table, foreach, doParallel, parallel