The configuration format defined by 'TOML' (which expands to
 "Tom's Obvious Markup Language") specifies an excellent format
 (described at <https://toml.io/en/>) suitable for both human editing
 as well as the common uses of a machine-readable format. This package
 uses 'Rcpp' to connect to the 'toml++' parser written by Mark Gillard
 to R.

'Tskit' enables efficient storage, manipulation, and analysis
    of ancestral recombination graphs (ARGs) using succinct tree sequence
    encoding. The tree sequence encoding of an ARG is described in Wong et
    al. (2024) <doi:10.1093/genetics/iyae100>, while `tskit` project is
    described in Jeffrey et al. (2026) <doi:10.48550/arXiv.2602.09649>.
    See also <https://tskit.dev> for project news, documentation, and
    tutorials. 'Tskit' provides 'Python', 'C', and 'Rust' application
    programming interfaces (APIs). The 'Python' API can be called from 'R' via
    the 'reticulate' package to load and analyse tree sequences as
    described at <https://tskit.dev/tutorials/tskitr.html>. 'RcppTskit'
    provides 'R' access to the 'tskit C' API for cases where the
    'reticulate' option is not optimal; for example, high-performance or
    low-level work with tree sequences. Currently, 'RcppTskit' provides a
    limited set of 'R' functions because the 'Python' API and 'reticulate'
    already covers most needs.

Using the efficient implementation in the Boost C++ library, functions are
 provided to generate vectors of 'Universally Unique Identifiers (UUID)' from R supporting
 random (version 4), name (version 5) and time (version 7) 'UUIDs'. The initial repository
 was at <https://gitlab.com/artemklevtsov/rcppuuid>.

Provides the means to compile user-supplied C++ functions with
  'Rcpp' and retrieve an 'XPtr' that can be passed to other C++ components.

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.