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A statistical package is a suite of computer programs that are specialised for statistical analysis. It enables people to obtain the results of standard statistical procedures and statistical significance tests, without requiring low-level numerical programming. Most statistical packages also provide facilities for data management.

Open sourceEdit

• Apohenia - Not a package, but a library of functions for C that implements stats package-level routines
• Bayesian Filtering Library
• gretl - Gnu Regression, Econometrics and Time-series Library
• JMulTi
• Macanova
• OpenBUGS
• OpenEpi
• GNU PSPP
• R - programming language for statistics
• SciGraphica
• Shogun, an open source Large Scale Machine Learning toolbox that provides several SVM implementations (like libSVM, SVMlight) under a common framework and interfaces to Octave, Matlab, Python, R
• SPSS
• SOCR

Statistical packages for analysing qualitative dataEdit

There are a number of packages available for Computer Assisted Qualitative Data Analysis - CAQDAS. In their working paper Lewis and Silver list the following:

• ATLAS.ti V5,
• HyperRESEARCH V.2.06,
• MAXqda V2,
• N6,
• NVivo 2,
• NVivo7
• QDAMiner
• Qualrus
• Transana (open source)

Other free and open source packages include:

• TAMS Analyzer -- transcription analysis and coding
• Weft QDA -- text coding, search
• RQDA -- an R package providing a user interface for QDA tasks