LISP-STAT

Lisp-Stat is an extensible statistical computing environment for data analysis, statistical instruction and research, with an emphasis on providing a framework for exploring the use of dynamic graphical methods. Extensibility is achieved by basing Lisp-Stat on the Lisp language, in particular on a subset of Common Lisp. Lisp-Stat extends standard Lisp arithmetic operations to perform element-wise operations on lists and vectors, and adds a variety of basic statistical and linear algebra functions. A portable window system interface forms the basis of a dynamic graphics system that is designed to work identically in a number of different graphical user interface environments, such as the Macintosh operating system, the X window system, and Microsoft Windows. A prototype-based object-oriented programming system is used to implement the graphics system and to allow it to be customized and adapted. The object-oriented programming system is also used as the basis for statistical model representations, such as linear and nonlinear regression models and generalized linear models. Many aspects of the system design were motivated by the S language.


References in zbMATH (referenced in 116 articles , 2 standard articles )

Showing results 61 to 80 of 116.
Sorted by year (citations)
  1. Seo, Han Son: A dynamic plot for the specification of curvature in linear regression (1999)
  2. Slate, Elizabeth H.: Assessing multivariate nonnormality using univariate distributions (1999)
  3. Wilkinson, Leland: The grammar of graphics (1999)
  4. Chen, Chun-Houh; Li, Ker-Chau: Can SIR be as popular as multiple linear regression? (1998)
  5. Doss, Hani; Narasimhan, B.: Dynamic display of changing posterior in Bayesian survival analysis (1998)
  6. Hoeting, Jennifer A.; Ibrahim, Joseph G.: Bayesian predictive simultaneous variable and transformation selection in the linear model. (1998)
  7. Theus, Martin: Exploratory Data Analysis with Data Desk (1998)
  8. Thomas Lumley: Survival Analysis in XLISP-Stat. A semiliterate program (1998) not zbMATH
  9. Dianne Cook: Calibrate Your Eyes to Recognize High-Dimensional Shapes from Their Low-Dimensional Projections (1997) not zbMATH
  10. Filliben, James J.; Li, Ker-Chau: A systematic approach to the analysis of complex interaction patterns in two-level factorial designs (1997)
  11. Guttman, Irwin; Papandonatos, George D.: A Bayesian approach to a reliability problem: Theory, analysis and interesting numerics (1997)
  12. Jason Bond; George Michailides: Interactive Correspondence Analysis in a Dynamic Object-Oriented Environment (1997) not zbMATH
  13. Kass, Robert E.; Vos, Paul W.: Geometrical foundations of asymptotic inference (1997)
  14. Li, Ker-Chau: Nonlinear confounding in high-dimensional regression (1997)
  15. Papandonatos, George D.; Geisser, Seymour: Laplace approximations for censored linear regression models (1997)
  16. Stromberg, Arnold J.: Some software for computing robust linear or nonlinear regression estimators (1997)
  17. Wetzel, Nate: Interactive graphical modeling methods for regression (1997)
  18. Yandell, B. S.: Practical data analysis for designed experiments (1997)
  19. Zelinka, Jiří: Multivariate density estimation (1997)
  20. Abrams, Keith; Ashby, Deborah; Errington, Doug: A Bayesian approach to Weibull survival models -- application to a cancer clinical trial (1996)