This header-only library provides modern, portable C++ wrappers for SIMD
intrinsics and parallelized, optimized math implementations (SSE, AVX, NEON, AVX512).
By placing this library in this package, we offer an efficient distribution system for
Xsimd <https://github.com/xtensor-stack/xsimd> for R packages using CRAN.

This package provides 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.

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.

Rcpp integration of different Ziggurat Normal RNG
implementations
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.

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 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
been extremely diligently tested.

'Rcpp' Integration of Different "Ziggurat" Normal RNG
Implementations

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.
rbenchmark, microbenchmark, lattice, knitr, rmarkdown, pinp