Comparison of statistical packages
The following tables compare general and technical information for many statistical analysis software packages.
General information
Operating system support
ANOVA
Support for various ANOVA methods
Regression
Support for various regression methods.
Time series analysis
Support for various time series analysis methods.
Charts and diagrams
Support for various statistical charts and diagrams.
Other abilities
See also
- Comparison of computer algebra systems
- Comparison of deep learning software
- Comparison of numerical-analysis software
- Comparison of survey software
- Comparison of Gaussian process software
- List of scientific journals in statistics
- List of statistical packages
Footnotes
References
Further reading
- McCullough, B. D. (1999). "Econometric software reliability: EViews, LIMDEP, Shazam, and TSP". Journal of Applied Econometrics. 14 (2): 191–202. doi:10.1002/(SICI)1099-1255(199903/04)14:2<191::AID-JAE524>3.0.CO;2-K.
- McCullough, B. D.; Vinod, H. D. (1999). "The Numerical Reliability of Econometric Software". Journal of Economic Literature. 37 (2): 633–665. CiteSeerX 10.1.1.136.9939. doi:10.1257/jel.37.2.633. JSTOR 2565215.
- Ooms, Marius (2009). "Trends in Applied Econometrics Software Development 1985–2008: An Analysis of Journal of Applied Econometrics Research Articles, Software Reviews, Data and Code". Palgrave Handbook of Econometrics. Vol. 2: Applied Econometrics. Palgrave Macmillan. pp. 1321–1348. ISBN 978-1-4039-1800-0.
- Renfro, Charles G. (2004). Computational Econometrics: Its Impact on the Development of Quantitative Economics. IOS Press. ISBN 1-58603-426-X.
- Zhu, Xiaoping; Kuljaca, Ognjen (2005). "A Short Preview of Free Statistical Software Packages for Teaching Statistics to Industrial Technology Majors" (PDF). Journal of Industrial Technology. 21 (2). Archived from the original (PDF) on October 25, 2005.