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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 source

  • 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 data

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

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
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