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Statistical software are specialized computer programs for statistical analysis.

Open source[]

File:Gretl screenshot.png

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.
  • Bayesian Filtering Library
  • Chronux – for neurobiological time series data
  • DAP – A free replacement for SAS
  • ELKI a software framework for development of data mining algorithms in Java.
  • Fityk – nonlinear regression software (GUI and command line)
  • gretl – gnu regression, econometrics and time-series Library
  • JAGS – Just another Gibbs sampler (JAGS) is a program for analysis of Bayesian hierarchical models using Markov Chain Monte Carlo (MCMC) developed by Martyn Plummer. It is similar to WinBUGS.
  • SCaViS – Java-based statistical analysis framework for scientists and engineers. It includes an advanced IDE and Jython shell.
  • JMulTi
  • LIBSVM and LIBLINEAR, C++ support vector machine libraries
  • Octave – programming language (very similar to Matlab) with statistical features
  • Mondrian (software) - data analysis tool using interactive statistical graphics with a link to R.
  • OpenBUGS
  • OpenEpi – A web-based, open source, operating-independent series of programs for use in epidemiology and statistics based on JavaScript and HTML
  • OpenMx – A package for Structural equation modeling running in R.
  • Orange, a machine learning and bioinformatics software
  • Ploticus – software for generating a variety of graphs from raw data
  • PSPP – A free software alternative to IBM SPSS Statistics
  • R – A free implementation of the S language.
    • R Commander – GUI interface for R
    • Rattle GUI – GUI interface for R
    • pbdR - "Programming with Big Data in R" is a series of R packages enhanced by SPMD parallelism for Big Data analysis.
  • RapidMiner, a machine learning toolbox
  • Revolution Analytics – Production-grade software for the enterprise big data analytics
  • Salstat - Menu driven statistics software
  • Salstat2[1] – Deriveb from Salstat. It can be scripted by using python, it can make interactive charts, manipulate Microsoft Excel and also you can import and export data
  • Scilab – uses GPL compatible CeCILL license
  • SciPy (a Python library for scientific computing) 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.)
  • Shogun, an 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 – a desktop GUI program focused on ease of use, learn as you go, and beautiful output.
  • Stan - New (2012), BSD licensed, compiled Markov chain Monte Carlo (MCMC) modeling with faster Hamiltonian Sampler for Bayesian analysis. mc-stan.org Official website
  • Statistical LabR-based and focusing on educational purposes
  • Weka is also a suite of machine learning software written at the University of Waikato.
  • Xlisp-stat
  • YADAS open source (Artistic License) Markov chain Monte Carlo (MCMC) Metropolis-Hastings algorithm in Java (w/o Gibbs Sampling) from Los Alamos National Laboratory (LANL).[2]

Public domain[]

Freeware[]

  • BV4.1
  • GeoDA
  • IDAMS/WinIDAMS
  • MINUIT
  • Regress+ - Univariate modeling: Equations and distributions for Mac OS.
    • Stat-JR is Python-based software package developed by the University of Bristol and the University of Southampton.
    • WinBUGSBayesian analysis using Markov chain Monte Carlo methods
    • Winpepi – package of statistical programs for epidemiologists

    Proprietary[]

    • Analytica - visual analytics and statistics package
    • Angoss - products KnowledgeSEEKER and KnowledgeSTUDIO incorporate a variety of data mining algorithms
    • AroniSmartIntelligence – advanced and research statistics and data mining package for Mac OS.
    • AroniSmartStat – basic, advanced, and research statistics package for Mac OS.
    • ASReml – for restricted maximum likelihood analyses
    • BMDP – general statistics package
    • CalEst – general statistics and probability package with didactic tutorials
    • Data Applied – for building statistical models
    • EViews – for econometric analysis
    • FAME – a system for managing time series statistics and time series databases
    • GAUSSprogramming language for statistics
    • Genedata Analyst– software solution for the integration and interpretation of experimental data in the life science R&D
    • GenStat – general statistics package
    • GLIM – early package for fitting generalized linear models
    • GraphPad InStat – Very simple with lots of guidance and explanations
    • GraphPad Prism – Biostatistics and nonlinear regression with clear explanations
    • IBM SPSS Statistics – comprehensive statistics package
    • IBM SPSS Modeler – comprehensive data mining and text analytics workbench
    • Izenda - Self-service data analysis over HTML5
    • IMSL Numerical Libraries – software library with statistical algorithms
    • JMP – visual analysis and statistics package
    • LIMDEP - comprehensive econometrics and statistics package
    • LISREL – statistics package used in structural equation modeling
    • Mapleprogramming language with statistical features
    • Mathematicaprogramming language with statistical features
    • MATLABprogramming language with statistical features
    • MedCalc – for biomedical sciences
    • Minitab – general statistics package
    • MLwiN – multilevel models (free to UK academics)
    • NAG Library - comprehensive math and statistics library
    • NCSS – general statistics package
    • NLOGIT - comprehensive econometrics and statistics package
    • NMath Stats – statistical package for .NET Framework
    • O-Matrixprogramming language
    • OriginPro – statistics and graphing, programming access to NAG library
    • Partek – general statistics package with specific applications for genomic, HTS, and QSAR data
    • PASS – specific routines for estimating sample size package
    • Primer-E Primer – environmental and ecological specific.
    • PV-WAVEprogramming language comprehensive data analysis and visualization with IMSL statistical package
    • Q research software – quantitative data analysis software for market research
    • Quantum – part of the SPSS MR product line, mostly for data validation and tabulation in Marketing and Opinion Research
    • RATS – comprehensive econometric analysis package
    • SAS – comprehensive statistical package
    • SHAZAM – comprehensive econometrics and statistics package
    • Simul - econometric tool for multidimensional (multi-sectoral, multi-regional) modelling
    • SigmaStat – for group analysis
    • SOCR – online tools for teaching statistics and probability theory
    • Speakeasy – numerical computational environment and programming language with many statistical and econometric analysis features
    • Stata – comprehensive statistics package
    • Statgraphics – general statistics package
    • STATISTICA – comprehensive statistics package
    • Statistix – general statistics package
    • StatXact – package for exact nonparametric and parametric statistics
    • Systat – general statistics package
    • S-PLUS – general statistics package
    • Unistat – general statistics package that can also work as Excel add-in
    • The Unscrambler (free-to-try commercial Multivariate analysis software for Windows)
    • WINKS SDA - general statistics package
    • World Programming System (WPS) - statistical package that supports the SAS language
    • XploRe

    Add-ons[]

    • Analyse-it – add-on to Microsoft Excel for statistical analysis
    • EngineRoom for Excel - add-on to Microsoft Excel for statistical analysis
    • NumXL – add-on to Microsoft Excel for general statistics and Econometrics
    • SigmaXL – add-on to Microsoft Excel for statistical and graphical analysis
    • SPC XL – add-on to Microsoft Excel for general statistics
    • Stats Helper – add-on to Microsoft Excel for descriptive statistics and Six Sigma
    • SUDAAN – add-on to SAS and SPSS for statistical surveys
    • XLfit add-on to Microsoft Excel for curve fitting and statistical analysis
    • XLStatistics add-on to Microsoft Excel for data analysis

    See also[]

    Commons-logo
    Wikimedia Commons has media related to:
    [[Commons: Category:List of statistical packages

    | List of statistical packages

    ]]
    • Comparison of statistical packages
    • Econometric software
    • Free statistical software
    • List of computer algebra systems
    • List of graphing software
    • List of numerical analysis software
    • List of numerical libraries
    • Mathematical software
    • Psychometric software

    References[]

    1. S2 Statistical Package Project Site.
    2. Graves, Todd L. YADAS. Los Alamos National Laboratory (LANL). URL accessed on 2013-03-23.

    External links[]


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