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.


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.

Installation

From Source

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

install.packages("RQuantLib")

Windows Binaries

Starting with release 0.4.3, binaries may be provided via the ghrr drat repo and can be installed as

drat::addRepo("ghrr")       #  maybe use 'install.packages("drat")' first 
install.packages("RQuantLib", type="binary")

Authors

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

License

GPL (>= 2)

News

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")

0.4.4 by Dirk Eddelbuettel, 4 months ago


http://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, Khanh Nguyen (2009-2010), Terry Leitch (since 2016)


Documentation:   PDF Manual  


Task views: Empirical Finance


GPL (>= 2) license


Imports methods, Rcpp, stats, graphics, zoo

Suggests rgl, RUnit, shiny

Linking to Rcpp

System requirements: QuantLib library (>= 1.8.0) from http://quantlib.org, Boost library from http://www.boost.org


Suggested by bizdays.


See at CRAN