Which R packages (in this list or not) do you use in quant finance, why not an alternative, do you use it in production and if so, how?

There is a list of most of the R packages related to Finance by Dirk Eddelbuettel:


In addition:

  • FinancialInstrument
  • RTAQ
  • blotter
  • quantstrat
  • 5
    $\begingroup$ This should probably be closed for being overly broad and primarily opinion based. However, a list of popular packages (for R) and their uses can be a great asset for this as a Community Wiki. Would such a list also suit you @SMohan? $\endgroup$
    – Bob Jansen
    Aug 4, 2014 at 18:46

1 Answer 1


I like Quantlib



The QuantLib project is aimed at providing a comprehensive software framework for quantitative finance. QuantLib is a free/open-source library for modeling, trading, and risk management in real-life.

QuantLib is written in C++ with a clean object model, and is then exported to different languages such as C#, Objective Caml, Java, Perl, Python, GNU R, Ruby, and Scheme. The QuantLibAddin/QuantLibXL project uses ObjectHandler to export an object-oriented QuantLib interface to a variety of end-user platforms including Microsoft Excel and OpenOffice.org Calc. Bindings to other languages and porting to Gnumeric, Matlab/Octave, S-PLUS/R, Mathematica, COM/CORBA/SOAP architectures, FpML, are under consideration.


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