R Interface to the 'QuantLib' Library

The 'RQuantLib' package makes parts of 'QuantLib' accessible from R The 'QuantLib' project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.


RQuantLib: R Interface to the QuantLib Library

CI License CRAN r-universe Debian package Dependencies Downloads Last Commit

About

The RQuantLib package makes parts of QuantLib visible to the R user. Currently a number option pricing functions are included, both vanilla and exotic, as well as a broad range of fixed-income functions. Also included are general calendaring and holiday utilities. Further software contributions are welcome.

The QuantLib project aims to provide a comprehensive software framework for quantitative finance. The goal is to provide a standard open source library for quantitative analysis, modeling, trading, and risk management of financial assets.

Status

The package is actively maintained, and is still being extended. Contributions are welcome, and initial discussions via GitHub issue tickets are encouraged as suggested in the Contributing guide.

The package is always tested against the most recent version of QuantLib itself, and it generally updated (should a change be needed) when QuantLib releases updates.

Installation

From Source

The package is on CRAN and can be installed as usual:

install.packages("RQuantLib")

Windows binary packages are available via CRAN thanks to the work by Joshua Ulrich and Jeroen Ooms providing a QuantLib binary for the CRAN builders. Similarly, binaries for macOS can be provided when a suitable macOS library of QuantLib is prepared, possibly via s-u/recipes. If and when these binary libraries may be outdated, please raise the issue on the rquantlib mailing list.

For more OS-specific installation options, please see the wiki.

Support

Come to the friendly and low-volume rquantlib mailing list for help.

See Also

The qlcal R package provides the calendaring functionality of QuantLib in a standalone R package that does not require QuantLib.

Authors

Dirk Eddelbuettel, Khanh Nguyen (during 2009-2010) and Terry Leitch (since 2016)

License

GPL (>= 2)

Reference manual

It appears you don't have a PDF plugin for this browser. You can click here to download the reference manual.

install.packages("RQuantLib")

0.4.29 by Dirk Eddelbuettel, 8 days ago


https://github.com/eddelbuettel/rquantlib, https://dirk.eddelbuettel.com/code/rquantlib.html


Report a bug at https://github.com/eddelbuettel/rquantlib/issues


Browse source code at https://github.com/cran/RQuantLib


Authors: Dirk Eddelbuettel [aut, cre] (ORCID: , Khanh Nguyen [aut] (2009-2010) , Terry Leitch [aut] , since 2016)


Documentation:   PDF Manual  


GPL (>= 2) license


Imports methods, Rcpp, stats, graphics, zoo

Suggests tinytest, rgl, shiny

Linking to Rcpp

System requirements: QuantLib library (>= 1.25) from https://quantlib.org, Boost library from https://www.boost.org


Suggested by bizdays.


See at CRAN