Incanter

http://github.com/liebke/incanter/tree/master

Incanter is a Clojure-based, R-like statistical computing and graphics environment for the JVM.

Motivation for a Lisp-based R-like statistical environment can be found in the paper Back to the Future: Lisp as a Base for a Statistical Computing System by Ihaka and Lang (2008).

Motivation for a JVM-based Lisp can be found at the Clojure website, and screencasts of several excellent Clojure talks by the language’s creator, Rich Hickey, can be found at clojure.blip.tv.

The Comprehensive R Archive Network (CRAN)

http://cran.r-project.org/

R is `GNU S', a freely available language and environment for statistical computing and graphics which provides a wide variety of statistical and graphical techniques: linear and nonlinear modelling, statistical tests, time series analysis, classification, clustering, etc. Please consult the R project homepage for further information.

Scythe Statistical Library

http://scythe.wustl.edu/

The Scythe Statistical Library is an open source C++ library for statistical computation, written by Daniel Pemstein (Harvard University and University of Illinois), Kevin M. Quinn (Harvard University), and Andrew D. Martin (Washington University). It includes a suite of matrix manipulation functions, a suite of pseudo-random number generators, and a suite of numerical optimization routines.

Rforge

http://www.rforge.net/

RForge strives to provide a colaborative environment for R package developers. The ultimate goal is to offer SourceForge-like services (such as SVN repository, place for documentation, downloads, mailing lists, bugzilla, wiki etc.) with additional features specific to R package development, such as make check on-commit, nighlty builds of packages, testing on various plarforms and full CRAN-like reposity access. The focus is on R-specific features that are not offered by SourceForge or GForge.

aML Multiprocess Multilevel Modeling

http://www.applied-ml.com/

aML is powerful statistical software for multilevel and multiprocess models. It supports multilevel hazard, (censored/truncated) linear, ordered and unordered categorical, and count outcomes. You may mix and match corresponding model types with correlations at any level and simultaneously estimate a wide class of multiprocess models. In particular, aML excels in selection models and models with potentially endogenous covariates.

RapidMiner

http://rapid-i.com/content/blogcategory/38/69/lang,en/

RapidMiner is the world-wide leading open-source data mining solution due to the combination of its leading-edge technologies and its functional range. Applications of RapidMiner cover a wide range of real-world data mining tasks.

Sage

http://www.sagemath.org/

Sage is a free open-source mathematics software system licensed under the GPL. It combines the power of many existing open-source packages into a common Python-based interface.

Rice professor sees method revolutionizing computing

http://www.chron.com/disp/story.mpl/metropolitan/6252697.html

Engineers have long lived by a simple, seemingly obvious rule when designing new computers: The machines have to deliver correct answers. If asked to compute two plus two, a computer should answer four. But what if computers didn’t always have to answer correctly?
Nearly a decade age, a Houston computer scientist posed this heretical question. Today, it’s led to a movement dubbed “probabilistic computing,” which he believes will revolutionize the future of computing.

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