Pratélaning pak statistik

**Piranti alus Statistika** iku program komputer mligi kanggo analisis statistika

## Sumber kabuka (*Open source*)
 is an example of an open source statistical package]]
* ADMB –non-linear statistik modeling dhedhasar C++ kang migunakaké *automatic differentiation*.
* Bayesian Filtering Library
* Chronux – kanggo neurobiological time series data
* DAP – Gabtiné SAS
* ELKI a software framework for development of data mining algorithms in Java.
* Fityk – nonlinear regression software (GUI lan 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.
* JHepWork – Java-based statistical analysis framework for scientists and engineers. It includes an advanced IDE and Jython shell.
* JMulTi
* 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, sawijining piranti alus  machine learning lan bioinformatics 
* Ploticus – piranti alus kanggo gawé manéka grafis saka data mentah
* PSPP – Gantiné SPSS
* R – A free implementation of the S language.
* R Commander – GUI interface for R
* RapidMiner, a machine learning toolbox
* Rattle GUI – GUI interface for R
* Scilab – uses GPL compatible CeCILL license
* Statsmodels - a scikits for statistics and econometrics, written in Python based on numpy and scipy
* 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
* 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.
* Statistical Lab – R-based and focusing on educational purposes
* Weka is also a suite of machine learning software written at the University of Waikato.
* Xlisp-stat
* Yxilon

## Domain umum 
* Demetra+
* CSPro
* Epi Info
* X-12-ARIMA

## Freeware
* BV4.1
* GeoDA
* MINUIT
* WinBUGS – Bayesian analysis using Markov chain Monte Carlo methods
* Winpepi – package of statistical programs for epidemiologists
* WinIDAMS
* Plainstat - free statistical programs for Mac

## Proprietary
* Aabel – Graphic display and plotting of statistical data sets
* ADAPA – batch and real-time scoring of statistical models
* Angoss
* 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
* DPS – comprehensive statistics package
* EViews – for econometric analysis
* FAME – a system for managing time series statistics and time series databases
* FinMath - A .NET numerical library containing descriptive statistics, distributions, factor analysis, regression analysis and many others. 
* GAUSS – programming language for statistics
* 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
* IMSL Numerical Libraries – software library with statistical algorithms
* JMP – visual analysis and statistics package
* LISREL – statistics package used in structural equation modeling
* Maple – programming language with statistical features
* Mathematica – programming language with statistical features
* MATLAB – programming language with statistical features
* MedCalc – for biomedical sciences
* Mentor – for market research
* Minitab – general statistics package
* MLwiN – multilevel models (free to UK academics)
* NCSS – general statistics package
* NMath Stats – statistical package for .NET Framework
* O-Matrix – programming language
* OriginPro – statistics and graphing, programming access to NAG library
* Partek – general statistics package with specific applications for genomic, HTS, and QSAR data
* Primer-E Primer – environmental and ecological specific.
* PV-WAVE – programming 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
* 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
* SPSS – comprehensive statistics package
* Stata – comprehensive statistics package
* Statgraphics – general statistics package
* STATISTICA – comprehensive statistics package
* STATIT – comprehensive statistical 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 – Statistical Data Analysis and Graphs from TexaSoft – a general statistics package designed for scientific data analysis
* XploRe

### Add-ons
* Analyse-it – add-on to Microsoft Excel for statistical analysis
* Sigma Magic - add-on to Microsoft Excel for statistical analysis designed for Lean Six Sigma
* SigmaXL – add-on to Microsoft Excel for statistical and graphical analysis
* SPC XL – add-on to Microsoft Excel for general statistics
* SUDAAN – add-on to SAS and SPSS for statistical surveys
* XLfit add-on to Microsoft Excel for curve fitting and statistical analysis
* XLSTAT add-on to Microsoft Excel for statistics and multivariate data analysis
* Stats Helper – add-on to Microsoft Excel for descriptive statistics and Six Sigma

## Rujukan 
## Pranala njaba 
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