'Rcpp'-Based Helper Functions to Pass 'Int64' and 'nanotime' Values Between 'R' and 'C++'

'Int64' values can be created and accessed via the 'bit64' package and its 'integer64' class which package the 'int64' representation cleverly into a 'double'. The 'nanotime' packages builds on this to support nanosecond-resolution timestamps. This packages helps conversions between 'R' and 'C++' via several helper functions provided via a single header file. A complete example client package is included as an illustration.

Integration to 'Apache' 'Arrow'

'Apache' 'Arrow' < https://arrow.apache.org/> is a cross-language development platform for in-memory data. It specifies a standardized language-independent columnar memory format for flat and hierarchical data, organized for efficient analytic operations on modern hardware. This package provides an interface to the 'Arrow C++' library.

Derivative-Free Optimization in R using C++

Perform derivative-free optimization algorithms in R using C++. A wrapper interface is provided to call C function of the 'bobyqa' implementation (See < https://github.com/emmt/Algorithms/tree/master/bobyqa>).

C Resource Cleanup via Exit Handlers

Wrapper of .Call() that runs exit handlers to clean up C resources. Helps managing C (non-R) resources while using the R API.

Examples using 'Rcpp' to Interface R and C++

Examples for Seamless R and C++ integration The 'Rcpp' package contains a C++ library that facilitates the integration of R and C++ in various ways. This package provides some usage examples. Note that the documentation in this package currently does not cover all the features in the package. The site < http://gallery.rcpp.org> regroups a large number of examples for 'Rcpp'.

Forward Selection using Concordance/C-Index

Performs forward model selection, using the C-index/concordance in survival analysis models.

Examples using 'RcppClassic' to Interface R and C++

The 'Rcpp' package contains a C++ library that facilitates the integration of R and C++ in various ways via a rich API. This API was preceded by an earlier version which has been deprecated since 2010 (but is still supported to provide backwards compatibility in the package 'RcppClassic'). This package 'RcppClassicExamples' provides usage examples for the older, deprecated API. There is also a corresponding package 'RcppExamples' with examples for the newer, current API which we strongly recommend as the basis for all new development.

An R Implementation of the FIS MarketMap C-Toolkit

Complete access from 'R' to the FIS 'MarketMap C-Toolkit' ('FAME C-HLI'). 'FAME' is a fully integrated software and database management system from FIS that provides the following capabilities: Time series and cross-sectional data management; Financial calculation, data analysis, econometrics, and forecasting; Table generation and detailed multicolor, presentation-quality report writing; Multicolor, presentation-quality graphics; "What-if" analysis; Application development and structured programming; Data transfer to and from other applications; Tools for building customized graphical user interfaces.

'CGAL' Version 4 C++ Header Files

'CGAL' is a C++ library that aims to provide easy access to efficient and reliable algorithms in computational geometry. Since its version 4, 'CGAL' can be used as standalone header-only library and is available under a double GPL-3|LGPL license. < https://www.cgal.org/>.

Xsimd C++ Header-Only Library Files

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.