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Interface to the 'nanoarrow' 'C' Library
Provides an 'R' interface to the 'nanoarrow' 'C' library and the 'Apache Arrow' application binary interface. Functions to import and export 'ArrowArray', 'ArrowSchema', and 'ArrowArrayStream' 'C' structures to and from 'R' objects are provided alongside helpers to facilitate zero-copy data transfer among 'R' bindings to libraries implementing the 'Arrow' 'C' data interface.
Solve Erlang-C Model
Provides a set of functions to solve Erlang-C model. The Erlang C formula was invented by the Danish Mathematician A.K. Erlang and is used to calculate the number of advisors and the service level.
'Rcpp' Meets 'C++' Arrays
Interoperability between 'Rcpp' and the 'C++11' array and tuple types. Linking to this package allows fixed-length 'std::array' objects to be converted to and from equivalent R vectors, and 'std::tuple' objects converted to lists, via the as() and wrap() functions. There is also experimental support for 'std::span' from 'C++20'.
Testing for Change in C-Statistic
Calculate the confidence interval and p value for change in C-statistic. The adjusted C-statistic is calculated by using formula as "Somers' Dxy rank correlation"/2+0.5. The confidence interval was calculated by using the bootstrap method. The p value was calculated by using the Z testing method. Please refer to the article of Peter Ganz et al. (2016)
'TinyDNG' C++ Header Files
Provides C++ header files for 'TinyDNG', a small header-only library for reading and writing 'DNG' and 'TIFF' files.
C++ Tools for Cleaning Strings
Provides function declarations and inline function definitions that facilitate cleaning strings in C++ code before passing them to R.
Interface to the 'C++' Library 'Pf'
Builds and runs 'c++' code for classes that encapsulate state space model, particle filtering algorithm pairs.
Algorithms include the Bootstrap Filter from Gordon et al. (1993)
C R Bytecode Compiler
Implements a bytecode compiler for 'R' in 'C', targeting functional parity with the base 'compiler' package, while focusing on better performance. The architecture mostly mirrors the original 'GNU-R' compiler as described in < https://homepage.cs.uiowa.edu/~luke/R/compiler/compiler.pdf>.
T-Distributed Stochastic Neighbor Embedding using a Barnes-Hut Implementation
An R wrapper around the fast T-distributed Stochastic Neighbor Embedding implementation by Van der Maaten (see < https://github.com/lvdmaaten/bhtsne/> for more information on the original implementation).
Split, Combine and Compress PDF Files
Content-preserving transformations transformations of PDF files such as split, combine, and compress. This package interfaces directly to the 'qpdf' C++ library < https://qpdf.sourceforge.io/> and does not require any command line utilities. Note that 'qpdf' does not read actual content from PDF files: to extract text and data you need the 'pdftools' package.