Statistical packages
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Statistics: Scientific method · Research methods · Experimental design · Undergraduate statistics courses · Statistical tests · Game theory · Decision theory
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.
[edit] 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
[edit] 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:
- 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
