(BSD-3-Clause AND GPL-3.0 AND BSD-2-Clause AND MIT AND GPL-2.0 AND AGPL-3.0 AND CC-BY-SA-4.0 AND Artistic-2.0 AND LGPL-2.1 AND LGPL-3.0)
Simple, Consistent Wrappers for Common String Operations
A consistent, simple and easy to use set of wrappers around the fantastic 'stringi' package. All function and argument names (and positions) are consistent, all functions deal with "NA"'s and zero length vectors in the same way, and the output from one function is easy to feed into the input of another.
acquired package info from repodata DB: repodata/f1f85c23079e7764ad00378a9fc5d660b89a03657290e75426caf7be5b7da462-primary.sqlite.bz2
Methods to Convert R Data to YAML and Back
Implements the 'libyaml' 'YAML' 1.1 parser and emitter (<http://pyyaml.org/wiki/LibYAML>) for R.
Parsing and Evaluation Tools that Provide More Details than the Default
Parsing and evaluation tools that make it easy to recreate the command line behaviour of R.
Provides syntax highlighting for R source code. Currently it supports LaTeX and HTML output. Source code of other languages is supported via Andre Simon's highlight package (<http://www.andre-simon.de>).
A General-Purpose Package for Dynamic Report Generation in R
Provides a general-purpose tool for dynamic report generation in R using Literate Programming techniques.
Render Markdown with the C Library 'Sundown'
Provides R bindings to the 'Sundown' Markdown rendering library (<https://github.com/vmg/sundown>). Markdown is a plain-text formatting syntax that can be converted to 'XHTML' or other formats. See <http://en.wikipedia.org/wiki/Markdown> for more information about Markdown.
Miscellaneous Functions to Support Packages Maintained by 'Yihui Xie'
Miscellaneous functions commonly used in other packages maintained by 'Yihui Xie'.
The minimal R components necessary for a functional runtime
A language and environment for statistical computing and graphics. R is similar to the award-winning S system, which was developed at Bell Laboratories by John Chambers et al. It provides a wide variety of statistical and graphical techniques (linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, ...). R is designed as a true computer language with control-flow constructions for iteration and alternation, and it allows users to add additional functionality by defining new functions. For computationally intensive tasks, C, C++ and Fortran code can be linked and called at run time.