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Statistical software are specialized computer programs for statistical analysis and econometric analysis. ==Open-source statistical packages== * 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 * AMoreAccurateFourierTransform - software for computing Fourier transforms https://sourceforge.net/projects/amoreaccuratefouriertransform/ 〔A More Accurate Fourier Transform, E Courtney and M Courtney, Data Analysis, Statistics, and Probability, Cornell University Library, 2015.〕 * Bayesian Filtering Library * Chronux – for neurobiological time series data * CBEcon – web-based econometrics and statistical software * DataMelt (DMelt)– Java-based statistical analysis framework for scientists and engineers. It includes an IDE * DAP (software) – free replacement for SAS * ELKI a software framework for development of data mining algorithms in Java * Fityk – nonlinear regression software (GUI and command line) * GNU Octave – programming language very similar to MATLAB with statistical features * gretl – gnu regression, econometrics and time-series library * intrinsic Noise Analyzer (iNA) – analysis of intrinsic fluctuations in biochemical systems * JASP – A free software alternative to IBM SPSS Statistics with additional option for Bayesian methods * Just another Gibbs sampler (JAGS) – a program for analysis of Bayesian hierarchical models using Markov chain Monte Carlo developed by Martyn Plummer. It is similar to WinBUGS * JMulTi * LIBSVM – C++ support vector machine libraries * MLPACK (C++ library) – open-source library for machine learning, exploiting C++ language features to provide maximum performance and flexibility while providing a simple and consistent API * Mondrian (software) – data analysis tool using interactive statistical graphics with a link to R * Neurophysiological Biomarker Toolbox - Matlab toolbox for data-mining of neurophysiological biomarkers * OpenBUGS * OpenEpi – A web-based, open-source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and HTML * OpenNN – A software library written in the C++ programming language which implements neural networks, a main area of deep learning research. * OpenMx – A package for structural equation modeling running in R (programming language) * Orange (software), a machine learning and bioinformatics software * Pandas (software) – HPC data structures and data analysis tools for Python in Python and Cython (statsmodels, scikit-learn) * Perl Data Language – Scientific computing with Perl * Ploticus – software for generating a variety of graphs from raw data * PSPP – A free software alternative to IBM SPSS Statistics * R (programming language) – free implementation of the S (programming language) * * Programming with Big Data in R (pbdR) - a series of R (programming language) packages enhanced by SPMD parallelism for big data analysis * * R Commander – GUI interface for R * * Rattle GUI – GUI interface for R * * Revolution Analytics – production-grade software for the enterprise big data analytics * * RStudio – GUI interface and development environment for R * ROOT – an open-source C++ system for data storage, processing and analysis, developed by CERN and used to find the Higgs boson * Salstat - menu-driven statistics software * Scilab – uses GPL-compatible CeCILL license * SciPy – Python library for scientific computing that contains the ''stats'' sub-package which is partly based on the venerable ''|STAT'' (a.k.a. ''PipeStat'', formerly ''UNIX|STAT'') software * * scikit-learn - extends SciPy with a host of machine learning models (classification, clustering, regression, etc.) * * statsmodels - extends SciPy with statistical models and tests (regression, plotting, example datasets, GLM, time series analysis, ARMA, VAR, Non-parametric statistics, ANOVA, empirical likelihood) * Shogun (toolbox) – open-source, large-scale machine learning toolbox that provides several SVM (Support Vector Machine) implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, MATLAB, Python, R * Simfit – simulation, curve fitting, statistics, and plotting * SOCR * SOFA Statistics – desktop GUI program focused on ease of use, learn as you go, and beautiful output * Stan (software) – open-source package for obtaining Bayesian inference using the No-U-Turn sampler, a variant of Hamiltonian Monte Carlo. It’s somewhat like BUGS, but with a different language for expressing models and a different sampler for sampling from their posteriors * Statistical Lab – R-based and focusing on educational purposes * Torch (machine learning) – a deep learning software library written in Lua (programming language) * Weka (machine learning) – a suite of machine learning software written at the University of Waikato * Xlisp-stat 抄文引用元・出典: フリー百科事典『 ウィキペディア（Wikipedia）』 ■ウィキペディアで「list of statistical packages」の詳細全文を読む スポンサード リンク
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