S1: Statistical software: The future
7.
Patrick Wessa
A new framework for statistical software development, maintenance, and publishing within a feasible open-access business model
17.
Kosuke Imai, Gary King, and Olivia Lau
Toward A Common Framework for Statistical Analysis and Development (Also Known As, Zelig: Everyone's Statistical Software)
32.
Duncan Temple Lang
Some thoughts on the Next Generation Statistical Computing Environment
S2: Statistical software: Languages
21.
L.Fraser Jackson
Revisiting Array languages for Statistical Computing
25.
Ross Ihaka
Common Lisp as a Vehicle for Implementing Statistical Environments
28.
Anthony (Tony) Rossini
Statistical Computing using Common Lisp: Back from the Past, with a Twist.
S3: R packages
14.
David A. Henderson
Collaborative Research Projects between Insightful Corporation and the R Community
19.
Herve Pages
Efficient pattern matching on very large strings using the Biostrings package
35.
David Scott
Implementing Distribution and Quantile Functions
S4: R packages: OOP
5.
Deepayan Sarkar
Using method dispatch to extend Lattice displays
26.
Martin Maechler
Class Hierarchies and Method Organization for Matrices
40.
Thomas Yee
Developer's Issues Encountered from Writing The VGAM package
S5: Statistical software applications
3.
Ibrahim Abdullahi
Using R for Canonical Analysis of Response Surface Design
11.
Lyndon Walker
Social Simulation using R
13.
Aaron Ping
Beyond Line Charts: Graphing market trends with R
S6: Developer tools I
1.
Thomas Lumley
Memory profiling in R
15.
David A. Henderson and Stephen P. Kaluzny
S-PLUS Workbench: An Integrated Development Environment for S Programmers
31.
Duncan Temple Lang
Automating the interface between R and C/C++ code
S7: Developer tools II
6.
Seth Falcon
The weaver Package
8.
Uwe Ligges
Managing Huge R Package Repositories Problems and Required Changes
22.
Stephen Kaluzny
The S Package System
S8: Statistical graphics
24.
Brendan McArdle
GIR - An OpenGL Binding for R
36.
Paul Murrell and Ross Ihaka
Display Lists in Statistical Graphics
39.
Achim Zeileis, Kurt Hornik
Choosing Color Palettes for Statistical Graphics
S9: Dynamic and interactice graphics
18.
Derek Law
Flexible Rendering and Interaction for 3d Statistical Visualization
30.
Hadley Wickham
GGobi Pipeline
33.
Michael Lawrence
Extending the GGobi pipeline with rggobi
S10: Statistical models
2.
Claus Dethlefsen, Soren Hojsgaard and Steffen L. Lauritzen
Graphical modelling software in R - status.
23.
John Fox
Parametrization, Linear Hypotheses, Marginality, and "Types" of Tests in Linear, Generalized Linear, and Similar Statistical Models
38.
Friedrich Leisch
Flexible Implementations of Cluster Analysis and Mixture Models
S11: Statistical software: Web and Java I
4.
E. James Harner, Dajie Luo, and Jun Tan
A R/Java-based Statistical Learning Environment
34.
Hubert Rehrauer
MAGMA: Statistical microarray analysis made user-friendly
37.
Carrie Greene Wager
Web interfaces to high precision robotic bioassay with multilevel models
S12: Statistical software: Web and Java II
10.
Todd L. Graves
Markov chain Monte Carlo with YADAS
20.
Nianhua Li, Martin Morgan, Seth Falcon, Robert Gentleman
Exposing R as Java-based web services
29.
Yoshikazu Yamamoto and Junji Nakano
Parallel and distributed computing in a statistical system Jasp
S13: Data management/Large data
9.
Sandrah P. Eckel and Roger D. Peng
Interacting with local and remote data repositories using the 'stashR' package for R
12.
Richard A. O'Keefe
Trees for robust summaries in small sliding windows.
27.
Peter Dalgaard
Can we have better semantics for attach()?
S14: ????
16.
Ryota Suzuki, Tatsuhiro Nagai and Tomoya Taniguchi
Natto: Visualizing Mixed Type Dataset for Exploratory Data Analysis
41.
Kurt Hornik, Christian Buchta, Achim Zeileis
Open-Source Machine Learning: R Meets Weka
42.
Simon Urbanek
How to Talk to Strangers - ways to leverage connectivity between R and other environments
43.
Dirk Eddelbuettel
Soft versus Hard: A comparison of random number generators between R, GSL and a non-deterministic generator