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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 If and when these binary libraries may be outdated,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.