Provides functions to generating a vector of Universally Unique Identifiers (UUID).
  Used implementation from the Boost C++ library. Supported random (version 4) and name (version 5)
  UUIDs.

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.

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.

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.

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>.

This function corrects the bias in estimated regression coefficients due to classical additive measurement error (i.e., within-person variation) in logistic regressions under the main study/external reliability study design and the main study/internal reliability study design. The output includes the naive and corrected estimators for the regression coefficients; for the variance estimates of the corrected estimators, the extra variation due to estimating the parameters in the measurement error model is ignored or taken into account. Reference: Carroll RJ, Ruppert D, Stefanski L, Crainiceanu CM (2006) <doi:10.1201/9781420010138>.