Provides JSON parsing capability through the 'Rapidjson' 'C++' header-only library.

A collection of 'HTML', 'JavaScript', 'CSS' and fonts
  assets that generate 'RapiDoc' documentation from an 'OpenAPI' Specification:
   <https://mrin9.github.io/RapiDoc/>.

Quickly computes polygenic scores from GWAS summary statistics of either case-control or quantitative traits without parameter tuning. Reales,G., Vigorito, E., Kelemen,M., Wallace,C. (2021) <doi:10.1101/2020.07.24.220392> "RápidoPGS: A rapid polygenic score calculator for summary GWAS data without a test dataset".

Rapidly estimates tree-topology from large allele frequency
    data using Root Distances Method, under a Brownian Motion Model. See
    Peng et al. (2021) <doi:10.1016/j.ympev.2021.107142>.

Facilitates efficient polygon search using kd trees.
    Coordinate level spatial data can be aggregated to higher geographical
    identities like census blocks, ZIP codes or police district boundaries.
    This process requires mapping each point in the given data set to a
    particular identity of the desired geographical hierarchy. Unless efficient
    data structures are used, this can be a daunting task. The operation
    point.in.polygon() from the package sp is computationally expensive.
    Here, we exploit kd-trees as efficient nearest neighbor search algorithm
    to dramatically reduce the effective number of polygons being searched.

A 'Java' implementation of the RAKE algorithm ('Rose', S., 'Engel', D., 
  'Cramer', N. and 'Cowley', W. (2010) <doi:10.1002/9780470689646.ch1>), which can 
  be used to extract keywords from documents without any training data.

Provides XML parsing capability through the 'Rapidxml' 'C++' header-only library.

Access to the internal R serialization code is provided for
 use by other packages at the C function level by using the registration of
 native function mechanism. Client packages simply include a single header
 file RApiSerializeAPI.h provided by this package. This packages builds on
 the Rhpc package by Ei-ji Nakama and Junji Nakano which also includes a
 (partial) copy of the file src/main/serialize.c from R itself. The R Core
 group is the original author of the serialization code made available by
 this package.