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 |