| Overview |  |  |  |  |  |  | 
 
  |  |  | 
 
  | Time | Wednesday, July 8 | Time | Thursday, July 9 | Time | Friday, July 10 | 
 
  | 08:15 -
  08:45 | Registration |  |  | 
 
  | 08:45 -
  09:00 | Welcome (Big room) | 
 
  | 09:00 -
  09:45 | Invited
  Lecture (Big room): | 09:00 - 09:45 | Invited
  Lecture (Big room): | 09:00 - 09:45 | Invited
  Lecture (Big room): | 
 
  |  | Dalgaard: What we
  wish people knew more about when working with R |  | Hastie: Regularization Paths for
  Generalized Linear Models via Coordinate Descent |  | Greenacre: Dynamic
  transitions between multivariate methods | 
 
  | 09:45 -
  10:30 | Invited
  Lecture (Big room): | 09:50 - 10:45 | useR! Focus | 09:50 - 10:45 | useR! Focus | 
 
  |  | Cutler: Random Forests |  | Biostatistics (R1) |  | Survival Analysis (R1) | 
 
  |  |  |  | Forecasting in Practice (R2) |  | Regression (R2) | 
 
  |  |  |  | R Programming (R4) |  | Textmining (R4) | 
 
  |  |  |  | Documentation & Text Processing (R5) |  | Interactive Graphics (R5) | 
 
  |  |  |  | Classification & Regression Trees (D1) |  | Numeric Optimization (D1) | 
 
  |  |  |  | Image Analysis (Senso) |  | Psychometrics (Senso) | 
 
  | 10:30 -
  11:00 | Coffee Break | 10:45 - 11:15 | Coffee Break | 10:45 - 11:15 | Coffee Break | 
 
  | 11:00 -
  12:15 | useR! Kaleidoscope | 11:15 - 12:15 | useR! Kaleidoscope | 11:15 - 12:50 | useR! Kaleidoscope | 
 
  |  | Kaleidoscope
  I (Big room) |  | Kaleidoscope
  I (Big room) |  | Kaleidoscope
  I (Big room) | 
 
  |  | Kaleidoscope
  II (R4) |  | Kaleidoscope
  II (R4) |  | Kaleidoscope
  II (R4) | 
 
  |  | Kaleidoscope III (R5) |  | Kaleidoscope III (R5) |  | Kaleidoscope
  III (R5) | 
 
  | 12:15 -
  14:00 | Lunch Break | 12:15 - 14:00 | Lunch Break |  |  | 
 
  | 14:00 -
  14:45 | Invited
  Lecture (Big room): | 14:00 - 14:45 | Invited
  Lecture (Big room): | 12:55 - 13:40 | Invited
  Lecture (Big room): | 
 
  |  | Storey: Whole Data Approaches to
  Large-Scale Multiple Hypothesis Testing |  | Theus: Statistical Graphics! Who
  needs Visual Analytics? | Friedman: Fast
  Sparse Regression and Classification | 
 
  | 14:50 -
  15:45 | useR! Focus | 14:50 - 15:45 | useR! Focus | 13:40 - 13:50 | Goodbye (Big room) | 
 
  |  | *omics (R1) |  | Clinical Trials & Drug Development (R1) | 13:50 - 14:30 | Lunch (snack) | 
 
  |  | Business Case Studies (R2) |  | Portfolio Analysis (R2) |  |  | 
 
  |  | Workbenches (R4) |  | Parallel Computing (R4) |  |  | 
 
  |  | Visualization 1 (R5) |  | Office Integration (R5) |  |  | 
 
  |  | Pharmacokinetics (D1) |  | Bayesian Networks & Smoothing (D1) |  |  | 
 
  |  | Computational Social Sciences (Senso) |  | Cluster Analysis (Senso) |  |  | 
 
  | 15:45 -
  16:15 | Coffee Break / Poster | 15:45 - 16:15 | Coffee Break / Poster |  |  | 
 
  | 16:15 -
  17:10 | useR! Focus | 16:15 - 17:10 | useR! Focus |  |  | 
 
  |  | Genomic Data & Preprocessing (R1) |  | Association Studies 1 (R1) |  |  | 
 
  |  | Econometrics (R2) |  | Risk over Time (R2) |  |  | 
 
  |  | Workflows 1 (R4) |  | Memory (R4) |  |  | 
 
  |  | Visualization 2 (R5) |  | Data Connections (R5) |  |  | 
 
  |  | Oceans & Forests (D1) |  | Machine Learning (D1) |  |  | 
 
  |  | Multivariate Statistics 1 (Senso) |  | Chemometrics (Senso) |  |  | 
 
  | 17:15 -
  18:10 | useR! Focus | 17:15 - 18:10 | useR! Focus |  |  | 
 
  |  | Microarrays (R1) |  | Association Studies 2 (R1) |  |  | 
 
  |  | Efficiency Analysis (R2) |  | Time Series Analysis (R2) |  |  | 
 
  |  | Workflows 2 (R4) |  | Computer intensive Methods (R4) |  |  | 
 
  |  | Multimedia (R5) |  | Interfaces (R5) |  |  |  | 
 
  |  | Ecology (D1) |  | Modelling & Computer Experiments (D1) |  |  |  | 
 
  |  | Multivariate Statistics 2 (Senso) |  | Distributions (Senso) |  |  |  | 
 
  | evening | City Hall | evening | Conference Dinner |  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  | Wednesday |  |  | 
 
  |  |  | 
 
  | Time\Room | Big room | Room R4 | Room R5 | Room R1 | Room R2 | Room D1 | Room Senso |  | 
 
  | 08:00 -
  08:45 | Registration |  |  |  |  |  |  |  | 
 
  | 08:45 -
  09:00 | Welcome |  |  |  | 
 
  | 09:00 - 09:45 | Invited Lecture |  |  |  | 
 
  | (Chair:
  Julie Josse) |  |  |  | 
 
  | Peter
  Dalgaard |  |  |  | 
 
  | What
  we wish people knew more about when working with R |  |  |  | 
 
  | 09:45 - 10:30 | Invited Lecture |  |  |  | 
 
  | (Chair:
  François Husson) |  |  |  | 
 
  | Adele
  Cutler |  |  |  | 
 
  | Random
  Forests |  |  |  | 
 
  | 10:30 -
  11:00 | Coffee Break |  |  |  |  |  |  |  | 
 
  | 11:00 - 12:15 | useR! Kaleidoscope I | useR! Kaleidoscope II | useR! Kaleidoscope III |  |  |  | 
 
  | (Chair:
  Deepayan Sarkar) | (Chair: Martin Maëchler) | (Chair: Heather Turner) |  |  |  | 
 
  |  | Chine Karim | Rosenbaum Janet, Rompalo Anne | Su Yu-Sung, Gelman Andrew, Hill
  Jennifer |  |  |  | 
 
  | R on
  Amazon EC2 | Giving syphilis to friends: Using social network methods to study the
  spread and control of syphilis in Baltimore | Multiple imputation with diagnostics:
  opening windows into the black box |  |  |  | 
 
  |  | Theussl Stefan, Feinerer Ingo,
  Hornik Kurt | Stahlschmidt Stephan,
  Tausendteufel Helmut, Härdle Wolfgang | Bouche Jérôme, Fournier
  Gwenaëlle, Fournier Olivier, Le Poder François |  |  |  | 
 
  | Distributed Text Mining with tm | Linking the Offender's age to the Criminal Event: A
  Statistical Study on Sex-related Homicides | EnQuireR: exploration of questionnaires with R |  |  |  | 
 
  |  | Smith David | Ferreira Marco, Bertolde Adelmo,
  Holan Scott | Grömping Ulrike |  |  |  | 
 
  | Parallel
  Computing with Iterators | Analysis of Economic Data With Multiscale Spatio-temporal
  Models | Design of Experiments in R |  |  |  | 
 
  |  | Urbanek Simon | Strobl Carolin, Zeileis Achim | Monette Georges, Fox John |  |  |  | 
 
  | iPlots
  Extreme - next-generation interactive graphics for analysis of large data in
  R | Party on! - A new, conditional variable
  importance measure for random forests available in *party* | A Framework for Hypothesis Tests in
  Statistical Models With Linear Predictors |  |  |  | 
 
  | 12:15 -
  14:00 | Lunch Break |  |  |  |  |  |  |  | 
 
  | 14:00 - 14:45 | Invited Lecture |  |  |  | 
 
  | (Chair:
  David Causeur) |  |  |  | 
 
  | John
  Storey |  |  |  | 
 
  | Whole
  Data Approaches to Large-Scale Multiple Hypothesis Testing |  |  |  | 
 
  | 14:50 - 15-45 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | Workbenches | Visualization 1 | *omics | Business Case Studies | Pharmacokinetics | Computational Social Sciences |  | 
 
  | (Chair:
  Daniel Adler) | (Chair: Martin Theus) | (Chair: Franck Picard) | (Chair: Jim Porzak) | (Chair: Nicholas Lewin-Koh) | (Chair: John Fox) |  | 
 
  |  |  | Battke Florian, Symons Stephan,
  Nieselt Kay | Laurent Thibault, Ruiz-Gazen
  Anne, Thomas-Agnan Christine | Robin Xavier, Turck Natacha,
  Sanchez Jean-Charles, Müller Markus | Ishida Hisashi, Kondo Fumiyo | Ritz Christian, Streibig Jens
  Carl | Hatekar Neeraj, Kumar Ajit |  | 
 
  | Mayday RLink - The best of two worlds | Exploratory interactive tools for spatial data analysis | Combination of protein biomarkers | Simultaneous Use Probability of Mobile
  Internet and Other Media by Multivariate Probit Model | Dose-response modelling using R | Computational Social Sciences using R |  | 
 
  |  |  | François Romain, Chine Karim | Villalobos Hector,
  Gonzalez-Rodriguez Eduardo | Panse Christian, Gerrits
  Bertran, Schlapbach Ralph | Sara Fontdecaba , Jose A.
  Sanchez-Espigares , Pilar Muñoz | Thorin Chantal, Mallem Yassine,
  Noireaud Jacques, Desfontis Jean-Claude | Porro Giuseppe, Iacus Stefano
  Maria, King Gary |  | 
 
  | Advanced
  editor for the biocep workbench | satin: a R package for extracting and visualizing
  satellite data for oceanographic applications | PEAKPLOT: Visualizing Fragmented Peptide Mass Spectra in
  Proteomics | Estimating Markov-Switching Regression Models in R: An
  application to model energy price in Spain | Tools on R for Dose-response curves analysis | CEM: A
  Matching Method for Observational Data in the Social Sciences |  | 
 
  |  |  | Grosjean Philippe, Francois
  Romain, Barton Kamil | Hurley Catherine, Oldford R.W | Kloareg Maela, Friguet Chloé,
  Causeur David | Müller Marlene | Harbron Chris | Bryant Benjamin |  | 
 
  | SciViews-K and Komodo Edit, a new platform-independent
  GUI/IDE for R | Eulerian tour algorithms for data
  visualization and the PairViz package | Factor Analysis for Multiple Testing (FAMT) : an R
  package for large-scale significance testing under dependence | A case study on using generalized
  additive models to fit credit rating scores | Using R For Flexible Modeling Of
  Pre-Clinical Combination Studies | Supporting Robust Decisions with
  Classification and Data-Mining Algorithms |  | 
 
  | 15:45 -
  16:15 | Coffee Break /
  Poster session |  |  |  |  |  |  |  | 
 
  | 16:15 - 17:10 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | Workflows
  1 | Visualization 2 | Genomic Data & Preprocessing | Econometrics | Oceans & Forests | Multivariate Statistics 1 |  | 
 
  | (Chair:
  Karim Chine) | (Chair: Martin Theus) | (Chair: Narasimhan
  Balasubramanian) | (Chair: Yves Croissant) | (Chair: Thomas Petzoldt) | (Chair: Pierre-André Cornillon) |  | 
 
  |  |  | Philippe Hupé | Morales Mario | Kohl Matthias | Carlevaro Fabrizio, Croissant
  Yves, Hoareau Stephane | Van Iseghem Sylvie,
  Demanèche Sébastien, Daurès Fabienne, Leblond Emilie | Epifanio Irene |  | 
 
  | A
  suite of R packages for the analysis of DNA copy number microarray
  experiments | Kaleidoscope Graphs in R | R Package RobLoxBioC: Infinitesimally
  robust estimators for preprocessing gene expression data | Multiple hurdles models in R | An integrated and statistical approach using R to assess
  the economic importance of coastal fisheries in France | Proximity data visualization with
  h-plots |  | 
 
  |  |  | Antoni Arlette, Dhorne Thierry,
  Le Guyadec Yann | Burger Thomas, Dhorne Thierry | Haldermans Philippe, Shkedy Ziv | Millo Giovanni, Piras Gianfranco | Louzao Maite, Goarant Anne,
  Peron Clara, Thiebot Jean-Baptiste | Le Ray Guillaume, Molto Quentin,
  Husson François |  | 
 
  | Towards a R-centric architecture for multi purpose
  geographical analysis on heterogeneous multi-source data | A Graphical Tool for the Detection of
  Modes in Continuous Data | LMMNorm: a package for the normalization of microarrays using linear mixed
  models | splm: econometric analysis of spatial
  panel data | Extracting oceanographic data via R: An application to
  habitat modelling of marine species | Hierarchical Clustering based on Principle Components |  | 
 
  |  |  | Risselada Roelof, Friedrich
  Christoph M., Ebeling Christian, Klinger Roman, Bauer-Mehren Anna | Poisot Timothée | Picard Franck, Lebarbier Emilie,
  Thiam Baba, Robin Stéphane | Stigler Matthieu | Klemmt Dr. Hans-Joachim | Templ Matthias, Alfons Andreas,
  Filzmoser Peter |  | 
 
  | Workflows for Data Mining in Integrated multi-modal Data
  of Intracranial Aneurysms using KNIME | Meaningful representation of
  multivariate analysis output in R: how to solve the trade-off between amount
  of information and readability? | Statistical assessment of chromosomal aberrations at the
  cohort level: the CGHSeg package | Threshold cointegration in R | Application of R for classification of
  main tree species using terrestrial laser scanner data | Exploring the multivariate structure of missing |  | 
 
  | 17:15 - 18:10 |  | useR! Focus | useR! Focus | useR! Focus |  | useR! Focus | useR! Focus |  | 
 
  | Workflows
  2 | Multimedia | Microarrays |  | Ecology | Multivariate Statistics 2 |  | 
 
  | (Chair:
  Karim Chine) | (Chair: Stefan Theussl) | (Chair: Maela Kloareg) |  | (Chair: Philippe Grosjean) | (Chair: Pierre-André Cornillon) |  | 
 
  |  |  | Wessa Patrick, van Stee Ed | Sueur Jerome, Aubin Thierry,
  Simonis Caroline | Scharl Theresa, Leisch Friedrich |  | Zambrano Bigiarini Mauricio | Weeks Richard, Kimberlin Oliver |  | 
 
  | The
  Reproducible Computing package | Sound analysis and synthesis with the package Seewave | R package gcExplorer: graphical and
  inferential exploration of cluster solutions |  | R in Hydrological Modelling: Why we should try it ? | Using R for Sensory Analysis, including
  a discussion of the S4 class system |  | 
 
  |  |  | Diamond Neil, Abramson David,
  Peachey Tom | Jensen Landon, Shah Vatsal | Marot Guillemette, Foulley
  Jean-Louis, Mayer Claus-Dieter, Jaffrézic Florence |  | Sharp Gary, Friskin David,
  Hosking Stephen, Logie Catherine | Reilly James L. |  | 
 
  | Using R for the design and analysis of computer
  experiments with the Nimrod toolkit | wiiRemote | metaMA: an R package implementing meta-analysis
  approaches for microarrays |  | The Determination of an Environmental Service for a
  Contingent Valuation Study - Using R to Compute Estimates | Unbiased variance estimates for
  multiple imputation in R |  | 
 
  |  |  | Lindsey Justin | Jose Quesada | Friedrich Christoph M., Gündel
  Michaela |  |  | Iodice D'Enza Alfonso |  | 
 
  | Appliantized
  Massively Parallel High Performance R | From relational databases to Linked
  Data: R for the semantic web | Combining
  Text Mining and Microarray Analysis |  | Binary attributes quantification with
  external information |  | 
 
  | evening | City Hall |  |  |  |  |  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  | Thursday |  |  | 
 
  |  |  | 
 
  | Time\Room | Big room | Room R4 | Room R5 | Room R1 | Room R2 | Room D1 | Room Senso |  | 
 
  | 08:30 -
  09:00 | Registration |  |  |  |  |  |  |  | 
 
  | 09:00 - 09:45 | Invited Lecture |  |  |  | 
 
  | (Chair:
  Torsten Hothorn) |  |  |  | 
 
  | Trevor
  Hastie |  |  |  | 
 
  | Regularization Paths for Generalized Linear
  Models via Coordinate Descent |  |  |  | 
 
  | 09:50 - 10:45 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | R
  Programming | Documentation & Text
  Processing | Biostatistics | Forecasting in Practice | Classification & Regression
  Trees | Image Analysis |  | 
 
  | (Chair:
  Uwe Ligges) | (Chair: Sébastien Lê) | (Chair: David Firth) | (Chair: Arthur Charpentier) | (Chair: Jerome H. Friedman) | (Chair: Peter Dalgaard) |  | 
 
  |  |  | Adler Daniel, Philipp Tassilo | França Lionel Riou, Genolini
  Christophe | Déjean Sébastien, Gonzalez
  Ignacio, Lê Cao Kim-Anh | Despagne Wilfried | Stewart Sam, Abdolell Mohamed,
  LeBlanc Michael | Pouzat Christophe, Chaffiol
  Antoine, Gu Chong |  | 
 
  | The
  rdyncall package: An improved foreign function interface for R | R to LaTeX, Univariate Analysis | Extensions of CCA and PLS to unravel relationships between two data sets | A Forecasting System Developed under R,
  Dedicated to Temperature-Controlled Goods Hauling | Customizing the rpart library for multivariate gaussian | STAR: Spike Train Analysis with R |  | 
 
  |  |  | Eddelbuettel Dirk | Cooper Danese | Katina Stanislav | Walz Corinne, Ziemer Franziska,
  Amberti Daniele | Zeileis Achim | Bordier Cecile, Dojat Michel,
  Lafaye de Micheaux Pierre |  | 
 
  | C++
  classes to extend and embed R: The Rcpp and RInside packages | A new system for collaborative
  documentation for R | Shape analysis in R: GM library in the
  light of recent methodological developments | Electrical Load Forecasting in R | Tree Algorithms in Data Mining:
  Comparison of R-rpart and Rweka | AnalyzeFMRI: an R package to perform statistical analysis
  on FMRI datasets |  | 
 
  |  |  | Winston Rory | Ellis Andrew, Wuertz Diethelm,
  Chalabi Yohan, Hanf Martin |  | Boosarawongse Rujirek | Hothorn Torsten, Zeileis Achim | Joucla Sébastien, Pippow
  Andreas, Kloppenburg Peter, Pouzat Christophe |  | 
 
  | Handling
  Streaming Data in R using bigmemory | Why Does Rmetrics Need a Documentation Project? |  | The Forecast of the Export Quantity of
  Thai Frozen Sea Food | partykit: A Toolbox for Recursive
  Partytioning | The CalciOMatic package: a new tool for calcium imaging
  quantitative analysis |  | 
 
  | 10:45 -
  11:15 | Coffee Break |  |  |  |  |  |  |  | 
 
  | 11:15 - 12:15 | useR! Kaleidoscope I | useR! Kaleidoscope II | useR! Kaleidoscope III |  |  |  | 
 
  | (Chair:
  Thomas Lumley) | (Chair: Ron Wehrens) | (Chair: Achim Zeileis) |  |  |  | 
 
  |  | Soetaert Karline | Le Meur Nolwenn, Hahne Florian,
  Sarkar Deepayan, Gentleman Robert | Iacus Stefano Maria |  |  |  | 
 
  | Mathematical
  modelling of the environment - are there enough data? | High throughput flow cytometry analysis with Bioconductor | Financial econometrics based on
  stochastic differential equations and the 'sde' package |  |  |  | 
 
  |  | Petzoldt Thomas | Radivoyevitch Tom | Croissant Yves |  |  |  | 
 
  | Dynamic
  simulation models - is R powerful enough? | Automated model generation and
  selection methods for combinatorially complex biochemical equilibriums | Multinomial logit models in R |  |  |  | 
 
  |  | Denis Kevin, Irigoien Xabier,
  François Romain, Grosjean Philippe | Katharine M. Mullen, Victor
  Krayzman, Igor Levin | Bose Ron |  |  |  | 
 
  | Zoo/PhytoImage, a software for automatic analysis of
  plankton samples based on R and Image | Optimization challenges in fitting stochastic models for
  atomic positions in nanoparticles | The impact of Water Supply and
  Sanitation interventions on child health: evidence from DHS surveys |  |  |  | 
 
  | 12:15 -
  14:00 | Lunch Break |  |  |  |  |  |  |  | 
 
  | 14:00 - 14:45 | Invited Lecture |  |  |  | 
 
  | (Chair:
  Sébastien Lê) |  |  |  | 
 
  | Martin
  Theus |  |  |  | 
 
  | Statistical
  Graphics! Who needs Visual Analytics? |  |  |  | 
 
  | 14:50 - 15:45 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | Parallel
  Computing | Office Integration | Clinical Trials & Drug
  Development | Portfolio Analysis | Bayesian Networks &
  Smoothing | Cluster Analysis |  | 
 
  | (Chair:
  Dirk Eddelbuettel) | (Chair: Richard Heiberger) | (Chair: Arthur Allignol) | (Chair: Stefano Iacus) | (Chair: Marco Ferreira) | (Chair: Friedrich Leisch) |  | 
 
  |  |  | Schmidberger Markus | Jones Wayne | Henry Solomon, Wood Douglas,
  Narasimhan Balasubramanian | Wuertz Diethelm, Chalabi Yohan,
  Ellis Andrew, Hanf Martin | Denis Jean-Baptiste,
  Delignette-Muller Marie-Laure, Pouillot Régis | Genolini Christophe, Falissard
  Bruno |  | 
 
  | State-of-the-art
  in Parallel Computing with R | Introducing the R to PowerPoint Package | Subject Randomization System | Portfolio Analysis and Optimization with R/Rmetrics | ReBaStaBa: handling Bayesian networks with R | KmL: K-means for Clustering Longitudinal Data |  | 
 
  |  |  | Etienne Marie-Pierre, Corvazier
  Cyril, Legros Benjamin | Chard Jonathan, Gibbs Geoff,
  Dunn Andy, Shao Fan | O'Kelly Michael | Liu Wei-han | Jégou Nicolas, Cornillon
  Pierre-André, Hengartner Nicolas, Matzner-Lober Eric | Vistocco Domenico, Bruzzese
  Dario |  | 
 
  | Coalition : a simple and useful tool to distribute
  R-works on a set of computers | Using R to provide a reporting plug-in for an Eclipse application | R versus SAS in model based drug development | Estimation and Testing of Portfolio
  Value-at-Risk based on L-Comoment Matrices | ibr: Iterative Bias Reduction Multivariate Smoothing | Stairstep-like dendrogram cut: a permutation test approach |  | 
 
  |  |  | Nakano Junji, Nakama Ei-ji | Neuwirth Erich |  | Rowe Brian Lee Yung |  | Kaiser Sebastian, Leisch
  Friedrich |  | 
 
  | Web
  Interface to R for High-Performance Computing | R and spreadsheets - combining
  different programming paradigms |  | A Tale of Two Theories: Reconciling
  random matrix theory and shrinkage estimation as methods for covariance
  matrix estimation |  | A Generalized Motif Bicluster Algorithm |  | 
 
  | 15:45 -
  16:15 | Coffee Break /
  Poster session |  |  |  |  |  |  |  | 
 
  | 16:15 - 17:10 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | Memory | Data Connections | Association Studies 1 | Risk over Time | Machine Learning | Chemometrics |  | 
 
  | (Chair:
  Dirk Eddelbuettel) | (Chair: Hadley Wickham) | (Chair: Adele Cutler) | (Chair: Yohan Chalabi) | (Chair: Eric Matzner-Lober) | (Chair: Katharine Mullen) |  | 
 
  |  |  | Baier Thomas, Neuwirth Erich | Gochez Francisco | Johnson Todd, Niimura Yoshihito,
  Tsunoda Tatsuhiko | Goulet Vincent | Ahdesmäki Miika, Strimmer
  Korbinian | Bloemberg Tom, Gerretzen Jan,
  Wouters Hans, Wehrens Ron |  | 
 
  | logi.DIAG:
  High-Volumn Real-time Data | RNONMEM2: An R bundle for easy
  manipulation and graphing of NONMEM data | hzAnalyzer: Detection, quantification, and visualization
  of contiguous homozygosity in human populations from high-density genotyping
  datasets using R and Java | Risk Theory Calculations with R and
  actuar | sda: an R package for shrinkage discriminant analysis | The PTW package: Global Parametric Time Warping in R |  | 
 
  |  |  | Oehlschlägel Jens, Adler Daniel | Heiberger Richard | Melville Scott, Fuchsberger
  Christian | Schmidbauer Harald, Tunalioglu
  Vehbi Sinan, Roesch Angi | Bücker Michael | Sarmad Majid |  | 
 
  | Managing data.frames with package 'ff' and fast filtering with package
  'bit' | Dynamic Control of R Graphics through
  RExcel | NCBI2R: An R package to navigate and annotate genes and SNPs | MGARCH: An R Package for Fitting Multivariate GARCH
  Models | Local Classification of Discrete
  Variables by Latent Class Models | PLS in Chemometrics with R |  | 
 
  |  |  | Emerson John, Kane Michael |  |  | Chalabi Yohan, Wuertz Diethelm | Michaelson Jacob, Ackermann
  Marit, Beyer Andreas |  |  | 
 
  | bigmemory:
  bigger, better, and platform-independent |  |  | Managing chronological objects with
  timeDate and timeSerie | Uncovering Interactions in Random Forests |  |  | 
 
  | 17:15 - 18:10 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | Computer
  intensive Methods | Interfaces | Association Studies 2 | Time Series Analysis | Modelling & Computer
  Experiments | Distributions |  | 
 
  | (Chair:
  Arnaud Guyader) | (Chair: Hadley Wickham) | (Chair: Adele Cutler) | (Chair: Yohan Chalabi) | (Chair: Ching-Fan Sheu) | (Chair: Peter Rudeckdeschel) |  | 
 
  |  |  | Gandy Axel | Browne Dylan, Pugh Richard, Zhu
  Feng, Shao Fan | Raffelsberger Wolfgang, Paul
  Nicodeme, Olivier Poch | Ruckdeschel Peter, Spangl
  Bernhard | Miller David Lawrence | Delignette-Muller Marie Laure,
  Pouillot Régis, Denis Jean-Baptiste |  | 
 
  | Sequential
  Implementation of Monte Carlo Tests with Uniformly Bounded Resampling Risk | Providing R Reporting Capabilities to a Web Application from a Version
  Controlled R Codebase | Analysis of deep sequencing data to study tumor biology | R-Package "robKalman" -R. Kalman's revenge ... or robustness for
  Kalman filtering revisited | A domain-morphing approach to smoothing
  over complex regions | Fitting distributions using R : the fitdistrplus package |  | 
 
  |  |  | Schimek Michael G., Budinska
  Eva, Lin Shili, Mysickova Alena | Klinger Roman, Friedrich
  Christoph M. | Ackermann Marit, Beyer Andreas | Varadhan Ravi, Subramaniam
  Ganesh | Helbert Celine, Dupuy Delphine,
  Deville Yves | Scott David, Wuertz Diethelm,
  Dong Christine |  | 
 
  | Inference, aggregation and graphics for top-k rank lists | rSMILE, an interface to the Bayesian Network package GeNIe/SMILE | Family-based analysis of genome-wide
  gene x gene interactions | Automatic Numerical Differentiation of Noisy, Time-Ordered Data in R | A new R bundle for design and analysis of computer experiments | Implementation of Software for Distributions |  | 
 
  |  |  | Lewis Bryan W. | Ooms Jeroen | Zhao Jing Hua, Tan Qihua |  | Roustant Olivier, Ginsbourger
  David, Deville Yves | Neubauer Gerhard, Djuras Gordana, Friedl
  Herwig |  | 
 
  | IRLB
  SVD methods for R | IRTtool.com | Use of R in genome-wide association
  studies |  | The DiceKriging package: kriging-based metamodeling and
  optimization for computer experiments | Size Estimation - Statistical Models for Underreporting |  | 
 
  | evening | Conference Dinner |  |  |  |  |  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  | Friday |  |  | 
 
  |  |  | 
 
  | Time\Room | Big room | Room R4 | Room R5 | Room R1 | Room R2 | Room D1 | Room Senso |  | 
 
  | 08:30 -
  09:00 | Registration |  |  |  |  |  |  |  | 
 
  | 09:00 - 09:45 | Invited
  Lecture |  |  |  | 
 
  | (Chair:
  Jérôme Pagès) |  |  |  | 
 
  | Michael
  Greenacre |  |  |  | 
 
  | Dynamic
  transitions between multivariate methods |  |  |  | 
 
  | 09:50 - 10:45 |  | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus | useR! Focus |  | 
 
  | Textmining | Interactive Graphics | Survival Analysis | Regression | Numeric Optimization | Psychometrics |  | 
 
  | (Chair:
  David Meyer) | (Chair: Antony Unwin) | (Chair: Axel Benner) | (Chair: Simon Wood) | (Chair: Arthur Charpentier) | (Chair: Carolin Strobl) |  | 
 
  |  |  |  |  | 
 
  |  |  | Klinke Sigbert | Boubela Roland, Filzmoser Peter,
  Piringer Harald | Hofner Benjamin, Hothorn
  Torsten, Kneib Thomas | Nieuwenhuis Rense, Pelzer Ben,
  Te Grotenhuis Manfred | Nash John C, Varadhan Ravi | Knoblauch Kenneth, Tandeau
  Blaise, Maloney Laurence T. |  | 
 
  | Visualising
  a web site with tag clouds generated by R | Integrating R into the InfoVis System Visplore | CoxFlexBoost: Fitting Structured Survival Models | Influence.ME:
  Tools for recognizing influential data in mixed models | Unifying optimization algorithms in R
  for smooth, nonlinear problems | Maximum Likelihood Conjoint Measurement in R |  | 
 
  |  |  | Bohn Angela, Feinerer Ingo,
  Hornik Kurt, Theussl Stefan | Harner E. James, Luo Dajie | Allignol Arthur, Schumacher
  Martin, Beyersmann Jan | Jose A. Sanchez-Espigares, Jordi
  Ocaña | Baty Florent, Charles Sandrine,
  Flandrois Jean-Pierre, Delignette-Muller Marie-Laure | Cheng Chung-Ping, Sheu Ching-Fan |  | 
 
  | Network Text Analysis of R Mailing Lists | mult: a Multivariate R Package with a
  Dynamic Java Frontend | Empirical Transition Matrix of Multistate Models: The etm
  Package | An R implementation of bootstrap procedures for mixed
  models | The R package nlstools: a toolbox for
  nonlinear regression | Fitting Models for the Iowa Gambling
  Task with R |  | 
 
  |  |  |  | Ozel Bulent, Tunalioglu Vehbi,
  Gencer Mehmet, Erkan Kaan | Moreira Carla, De Uña
  Àlvarez Jacobo, Crujeiras Rosa | Galili Tal, Gavrilov Yulia,
  Benjamini Yoav | Noncheva Veska, Mendes Armando,
  da Silva Emiliana | Sheu Ching-Fan, Cheng Teng-Chang |  | 
 
  |  | EURACE Data Visualisation and Analysis Tool with R | An R package for analyzing truncated data | Using R for regression model selection with adaptive
  penalties | A Software Framework for Measuring Efficiency | ALM: An R Package for Simulating
  Associative Learning Models |  | 
 
  | 10:45 -
  11:15 | Coffee break |  |  |  |  |  |  |  | 
 
  | 11:15 - 12:50 | useR! Kaleidoscope I | useR! Kaleidoscope II | useR! Kaleidoscope III |  |  |  | 
 
  | (Chair:
  Simon Urbanek) | (Chair: David Smith) | (Chair: Nicolas Hengartner) |  |  |  | 
 
  |  | Hadley Wickham | James John, Gochez Francisco | Maechler Martin, Bates Douglas |  |  |  | 
 
  | Model
  visualisation (with ggplot2) | Using R in a Corporate Environment | Sparse Matrices in package Matrix and
  applications |  |  |  | 
 
  |  | Zeileis Achim, Hornik Kurt,
  Murrell Paul | Wijffels Jan | Meyer David, Hornik Kurt |  |  |  | 
 
  | Escaping RGBland: Selecting Colors for Statistical
  Graphics | Prediction and Fuzzy Logic at
  ThomasCook to automate price | Good Relations with R |  |  |  | 
 
  |  | Leisch Friedrich | Guazzelli Alex, Lin Wen-Ching,
  Zeller Michael | Pau Grégoire, Huber Wolfgang |  |  |  | 
 
  | Visualizing
  Cluster Results Using Package FlexClust and Friends | Easy Execution of Data Mining Models through PMML | Composing HTML documents with hwriter |  |  |  | 
 
  |  | Lumley Thomas | Porzak Jim | Blundell Charles, Eddelbuettel
  Dirk |  |  | 
 
  | Automating
  SQL queries from formulas: loading data on demand | Building Information Dashboards with R | cran2deb: A system to automatically provide 1500+ CRAN packages as Debian
  binaries |  |  | 
 
  |  | Sarkar Deepayan | Silles Chris, Runnalls Andrew | Ligges Uwe |  |  | 
 
  | Using
  Qt for GUI tasks in R | Provenance Tracking in CXXR | Computational Aspects and Windows
  Related Community Services on CRAN |  |  | 
 
  | 12:55 - 13:40 | Invited Lecture |  |  | 
 
  | (Chair:
  Douglas Bates) |  |  |  | 
 
  | Jerome
  Friedman |  |  |  | 
 
  | Fast
  Sparse Regression and Classification |  |  |  | 
 
  | 13:40 -
  13:50 | Goodbye |  |  |  |  |  | 
 
  | 13:50 -
  14:30 | Lunch (snack) |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  |  |  | 
 
  |  | Poster
  (Room: big saloon and R3) |  |  | 
 
  | (Big
  saloon) | Arnholt
  Alan, Sanqui Joel |  |  | 
 
  |  | Ideas for Introducing Power in the Service
  Statistics Course |  |  | 
 
  | (Big
  saloon) | Bazzoli
  Caroline, Retout Sylvie, Comets Emanuelle, Le Nagard Hervé |  |  | 
 
  |  | Population designs evaluation
  and optimization in R: the PFIM function |  |  | 
 
  | (Big
  saloon) | Bem Justin |  |  | 
 
  |  | Variance estimation in second cameroonian households
  survey |  |  | 
 
  | (Big
  saloon) | Borcz
  Marcelina, Bala Piotr |  |  | 
 
  |  | Integration of R environment with the Grid |  |  | 
 
  | (Big
  saloon) | Chu
  Mei-Chen, Sheu Ching-Fan |  |  | 
 
  |  | Fitting
  Multidimensional IRT Models with R |  |  | 
 
  | (Big
  saloon) | Comets Emmanuelle, Mentré
  France |  |  | 
 
  |  | Evaluation of nonlinear mixed effect models
  using prediction distribution errors: the npde library for R |  |  | 
 
  | (Big
  saloon) | De
  Smedt Sebastiaan, Alaerts Katrijn, Potters Geert, Samson Roeland |  |  | 
 
  |  | Mixed-effects modeling with the
  lme4 package: a modern tool for the analysis of plant morphological data in
  R |  |  | 
 
  | (Big
  saloon) | Henning Elisa, Alves
  Custodio, Samohyl Robert |  |  | 
 
  |  | Multivariate Process Monitoring and
  Control with R |  |  | 
 
  | (Big
  saloon) | Hocking Toby Dylan |  |  | 
 
  |  | Sublogo dendrograms: visualizing correlation in
  biological sequence motifs |  |  | 
 
  | (Big
  saloon) | Ibáñez Maria Victoria, Prades
  Miriam, Simó Amelia |  |  | 
 
  |  | Modeling recovery rates of municipal waste
  using generalized linear models and beta regression |  |  | 
 
  | (Big
  saloon) | Lalanne
  Christophe, Duracinsky Martin, Vaivre-Douret Laurence, Chassany Olivier |  |  | 
 
  |  | Psychometrics in R:
  Rasch Model and beyond |  |  | 
 
  | (Big
  saloon) | Larson Jennifer |  |  | 
 
  |  | Institutional
  Change on a Network |  |  | 
 
  | (R3) | Lee Yen |  |  | 
 
  |  | Package for Deciding the Number of Factors in Exploratory
  Factor Analysis |  |  | 
 
  | (R3) | Mariann Borsos, István Jánosi |  |  | 
 
  |  | Power Analysis for Multivariate Generalised
  Linear Model |  |  | 
 
  | (R3) | Mi
  Xuefei, Utz Friedrich Utz |  |  | 
 
  |  | R-package MultiSelection: Optimizing Multi-stage
  Selection Gain and Controling the Variance (poster) |  |  | 
 
  | (R3) | Nunes
  Mafra Ana Carolina Cintra, Cordeiro Ricardo, Stephan Celso |  |  | 
 
  |  | Spatial odds ratio of disease in
  epidemiological studies with ordinal responses: a methodology using package
  VGAM. |  |  | 
 
  | (R3) | Oliveira Teresa, Oliveira
  Amlcar |  |  | 
 
  |  | Upper Contour Method of a Joint Regression
  Analysis using R |  |  | 
 
  | (R3) | Ormsby
  Christopher E., Avila-Rios Santiago, Reyes-Teran Gustavo |  |  | 
 
  |  | Methods and classes for creating
  in silico evolved genetic sequences of HIV. |  |  | 
 
  | (R3) | Pelé
  Julien, Chabbert Marie |  |  | 
 
  |  | Dimensional reduction and clustering of class A
  G-protein-coupled receptors |  |  | 
 
  | (R3) | Qeli Ermir, Panse
  Christian, Ahrens Christian |  |  | 
 
  |  | Visualization of Proteomics Data Integrated
  with KEGG Metabolic Data Using R and Bioconductor |  |  | 
 
  | (R3) | Stephan
  Celso, Nucci Luciana, Mafra Ana Carolina, Cordeiro Ricardo |  |  | 
 
  |  | A Spatial Multinomial
  Case-Control Modeling Package |  |  | 
 
  | (R3) | Vautier Bertrand |  |  | 
 
  |  | What useR! deals with : a text mining over the
  ages |  |  | 
 
  | (R3) | Zeleny
  David, Tichy Lubomir |  |  | 
 
  |  | Linking R and JUICE: software tool for analysis
  and visualization of vegetation data |  |  | 
 
 
  |  |  |  |  |  |  |  |  |  |