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SmartPLS – statistics package used in partial least squares path modeling (PLS) and PLS-based structural equation modeling; SOCR – online tools for teaching statistics and probability theory; Speakeasy (computational environment) – numerical computational environment and programming language with many statistical and econometric analysis ...
This category lists those domain-specific programming languages targeted at statistical applications. Subcategories This category has only the following subcategory.
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 .
Python, R, SAS and SQL languages WINKS: TexaSoft August 2013 () No Proprietary: GUI: Fortran, Visual Basic XploRe: MD*Tech 2006 () No Proprietary: GUI: Product Developer Latest version Open source Software license Interface Written in Scripting languages
Like natural languages, programming languages follow rules for syntax and semantics. There are thousands of programming languages [ 1 ] and new ones are created every year. Few languages ever become sufficiently popular that they are used by more than a few people, but professional programmers may use dozens of languages in a career.
Stata's proprietary output language is known as SMCL, which stands for Stata Markup and Control Language and is pronounced "smickle". [10] Stata's data format is always tabular in format. Stata refers to the columns of tabular data as variables.
This is an index to notable programming languages, in current or historical use. Dialects of BASIC, esoteric programming languages, and markup languages are not included. A programming language does not need to be imperative or Turing-complete, but must be executable and so does not include markup languages such as HTML or XML, but does include domain-specific languages such as SQL and its ...
Stan: A probabilistic programming language for Bayesian inference and optimization, Journal of Educational and Behavioral Statistics. Hoffman, Matthew D., Bob Carpenter, and Andrew Gelman (2012). Stan, scalable software for Bayesian modeling Archived 2015-01-21 at the Wayback Machine, Proceedings of the NIPS Workshop on Probabilistic Programming.