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Rmetrics
Rmetrics is a free and open-source software project designed for teaching computational finance. Rmetrics is based primarily on the statistical R programming language, but does contain contributions in other programming languages, such as Fortran, C, and C++. The project was started in 2001 by Diethelm Wuertz, based at the Swiss Federal Institute of Technology in Zurich.
Most Rmetrics components are distributed as R packages, which are add-on modules for R.
The broad goals of the projects are:
Rmetrics provides a high-level interpreted language, as well as data and model visualization capabilities. It allows for research in parallel statistical computing with an object oriented framework for computational finance, and financial engineering.
The Rmetrics project has a commitment to full open source discipline, with distribution via a SourceForge.net-like platform. All software contributions are expected to exist under an open source license such as GPL2, Artistic 2.0, or BSD. There are many different reasons why open-source software is beneficial to a software project in finance, including:
The Rmetrics Repository is hosted by R-forge. The following developers (in alphabetical order) contribute or have contributed to the Rmetrics packages: Andrew Ellis, Christophe Dutang, David Lüthi, David Scott, Diethelm Würtz, Francesco Gochez, Juri Hinz, Marco Perlin, Martin Mächler, Maxime Debon, Petr Savicky, Philipp Erb, Pierre Chausse, Sergio Guirreri, Spencer Graves, and Yohan Chalabi.
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Rmetrics AI simulator
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Rmetrics
Rmetrics is a free and open-source software project designed for teaching computational finance. Rmetrics is based primarily on the statistical R programming language, but does contain contributions in other programming languages, such as Fortran, C, and C++. The project was started in 2001 by Diethelm Wuertz, based at the Swiss Federal Institute of Technology in Zurich.
Most Rmetrics components are distributed as R packages, which are add-on modules for R.
The broad goals of the projects are:
Rmetrics provides a high-level interpreted language, as well as data and model visualization capabilities. It allows for research in parallel statistical computing with an object oriented framework for computational finance, and financial engineering.
The Rmetrics project has a commitment to full open source discipline, with distribution via a SourceForge.net-like platform. All software contributions are expected to exist under an open source license such as GPL2, Artistic 2.0, or BSD. There are many different reasons why open-source software is beneficial to a software project in finance, including:
The Rmetrics Repository is hosted by R-forge. The following developers (in alphabetical order) contribute or have contributed to the Rmetrics packages: Andrew Ellis, Christophe Dutang, David Lüthi, David Scott, Diethelm Würtz, Francesco Gochez, Juri Hinz, Marco Perlin, Martin Mächler, Maxime Debon, Petr Savicky, Philipp Erb, Pierre Chausse, Sergio Guirreri, Spencer Graves, and Yohan Chalabi.