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gretl is an example of an open-source statistical package. ADaMSoft – a generalized statistical software with data mining algorithms and methods for data management; ADMB – a software suite for non-linear statistical modeling based on C++ which uses automatic differentiation; Chronux – for neurobiological time series data; DAP – free ...
R is a widely used system with a focus on data manipulation and statistics which implements the S language. [29] Many add-on packages are available (free software, GNU GPL license). SAS, [30] a system of software products for statistics. It includes SAS/IML, [31] a matrix programming language.
"A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.
SAS has since then released versions free to use, the most recent of which is SAS Studio. [2] Epi Info a free to use program from the Centers for Disease Control and Prevention was developed in the 1980s. [3] One of the first completely free to use and open source statistical software was R, first released in 2000. [1]
A visual programming data-flow software suite with widgets for statistical data analysis, interactive data visualization, data mining, and machine learning. Origin: GUI, COM, C/ C++ and scripting: proprietary: No 1992: June 22, 2017 / 2017 SR2: Windows: Multi-layer 2D, 3D and statistical graphs for science and engineering. Built-in digitizing tool.
Microsoft Office-related statistical software (4 P) P. Plotting software (1 C, 59 P) R. Regression and curve fitting software (23 P) S. Statistical programming ...
However, nearly all software meeting the Free Software Definition also meets the Open Source Definition and vice versa. A small fraction of the software that meets either definition is listed here. Some of the open-source applications are also the basis of commercial products, shown in the List of commercial open-source applications and services.
There are generally four classes of software used to support the Six Sigma process improvement protocol: Analysis tools, which are used to perform statistical or process analysis; Program management tools, used to manage and track a corporation's entire Six Sigma program; DMAIC and Lean online project collaboration tools for local and global teams;
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