ASA Sections on:
This year we had 12 entries. The award is shared by two winners.
Thanks to the Chambers Award review committee consisting of Patrick Breheny (chair), Deepayan Sarkar, and Yihui Xie.
(Iowa State University).
Honorable Mention: Spectra, by Yixuan Qiu (Purdue University)
Kyle Dwayne Bemis
University of Santiago de Compostela
Nonparametric circular methods for density and regression (NPCirc)
R. Philip Chalmers
York University, Toronto
Jennifer Bobb and Ravi Varadhan
Johns Hopkins University
Renmin University of China
Alejandro Jara Vallejos
Catholic University of Leuven
Heather Turner and David Firth
University of Warwick
Iowa State University
University of Augsburg
University of Gottingen
RGL - A library linking R to Open GL
An extension to the R system allowing for 3D visualization
Lee Wilkinson, Chair of the Section (left), and Daniel Adler(right). Taken at the Joint Computing and Graphics Sections Mixer/Business Meeting in San Francisco (8/03).
University of Wisconsin -- Madison
A package implementing Trellis Graphics in R
University of Augsburg
Klassification - Interactive Methods for Trees
Interactive software for the graphical analysis of trees.
Simon Urbanek (left) and John Chambers (right). Taken at the Joint Computing and Graphics Sections Mixer/Business Meeting in New York City (8/02).
Dr. Alessandra Brazzale
Institute for Systems Science and Biomedical Engineering of the Italian National Research Council
HOA: Higher-Order Asymptotics
A library of S-PLUS functions (and data) for higher-order asymptotic inference
From left to right: Brian Smith, John Chambers and Sylvia Winkler. Taken at the Joint Computing and Graphics Sections Mixer/Business Meeting in Indianapolis (8/00).
CASSATT: Coordinate Analysing Statistical Software Applying Tandem Transformations
The interactive software CASSATT has been developed to visualise high-dimensional, multivariate data using parallel coordinates. CASSATT is platform independent and widens the range of methods for analysing parallel coordinate data. CASSATT uses interactive tools to extend the basic graphic displays.
BOA: Bayesian Output Analysis Program
BOA is an S-PLUS/R program for carrying out convergence diagnostics and statistical and graphical analysis of Monte Carlo sampling output. It can be used as an output processor for the BUGS software or for any other program which produces sampling output.