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Download as PDF; Printable version; In other projects Wikidata item; Appearance. move to sidebar hide. Help ... Pages in category "Statistical programming languages"
"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.
Programming Languages: Application and Interpretation (PLAI) is a free programming language textbook by Shriram Krishnamurthi. It is in use at over 30 universities, in several high-schools. It is in use at over 30 universities, in several high-schools.
Integrated data analysis graphing software for science and engineering. Flexible multi-layer graphing framework. 2D, 3D and statistical graph types. Built-in digitizing tool. Analysis with auto recalculation and report generation. Built-in scripting and programming languages. Perl Data Language: Karl Glazebrook 1996 c. 1997 2.080 28 May 2022: Free
WarpPLS – statistics package used in structural equation modeling; Wolfram Language [6] – the computer language that evolved from the program Mathematica. It has similar statistical capabilities as Mathematica. World Programming System (WPS) – statistical package that supports the use of Python, R and SAS languages within a single user ...
Lisp is the second oldest family of programming languages in use today and as such has many dialects and implementations with a wide range of difficulties. Lisp was originally created as a practical mathematical notation for computer programs, based on lambda calculus, which makes it particularly well suited for teaching theories of computing.
Stan is a probabilistic programming language for statistical inference written in C++. [2] The Stan language is used to specify a (Bayesian) statistical model with an imperative program calculating the log probability density function. [2] Stan is licensed under the New BSD License.
The SAS language is a fourth-generation computer programming language used for statistical analysis, created by Anthony James Barr at North Carolina State University. [ 1 ] [ 2 ] Its primary applications include data mining and machine learning .