**09:00 – 09:50**
| **Invited Talk, MS.01/MS.02, Chair: Ioannis Kosmidis** | |

| Lee E. Edlefsen | Scalable Data Analysis in R | [Slides] [Video] |

**11:15 – 12:35**
| **Spatio-Temporal Statistics, B3.02, Chair: Julian Stander** | |

| Nikolaus Umlauf | Structured Additive Regression Models: An R Interface to BayesX | [Slides] |

| **Molecular and Cell Biology, B3.03, Chair: Andrea Foulkes** | |

| Matthew Nunes | Summary statistics selection for ABC inference in R | [Slides] |

| Maarten van Iterson | Power and minimal sample size for multivariate analysis of microarrays | [Slides] |

| **Mixed Effect Models, MS.03, Chair: Douglas Bates** | |

| Ulrich Halekoh | Kenward-Roger modification of the F-statistic for some linear mixed models fitted with lmer | [Slides] |

| Marco Geraci | lqmm: Estimating Quantile Regression Models for Independent and Hierarchical Data with R | [Slides] |

| Kenneth Knoblauch | Mixed-effects Maximum Likelihood Difference Scaling | [Slides] |

| **Programming, MS.01, Chair: Uwe Ligges** | |

| Ray Brownrigg | Tricks and Traps for Young Players | [Slides] |

| Friedrich Schuster | Software design patterns in R | [Slides] |

| Patrick Burns | Random input testing with R | [Slides] |

| **Data Mining Applications, MS.02, Chair: Przemys****aw Biecek** | |

| Stephan Stahlschmidt | Predicting the offender’s age | |

| Daniel Chapsky | Leveraging Online Social Network Data and External Data Sources to Predict Personality | [Slides] |

**14:45 – 15:30**
| **Invited Talk, MS.01/MS.02, Chair: John Aston** | |

| Brandon Whitcher | Quantitative Medical Image Analysis | [Slides] [Video] |

**16:00 – 17:00**
| **Development of R, B3.02, Chair: John C. Nash** | |

| Andrew R. Runnalls | Interpreter Internals: Unearthing Buried Treasure with CXXR | [Slides] |

| **Geospatial Techniques, B3.03, Chair: Roger Bivand** | |

| Binbin Lu | Converting a spatial network to a graph in R | [Slides] |

| Rainer M Krug | Spatial modelling with the R-GRASS Interface | [Slides] |

| Daniel Nüst | sos4R – Accessing SensorWeb Data from R | [Slides] |

| **Genomics and Bioinformatics, MS.03, Chair: Ramón Diaz-Uriarte** | |

| Sebastian Gibb | MALDIquant: Quantitative Analysis of MALDI-TOF Proteomics Data | [Slides] |

| **Regression Modelling, MS.01, Chair: Cristiano Varin** | |

| Bettina Grün | Beta Regression: Shaken, Stirred, Mixed, and Partitioned | [Slides] |

| Rune Haubo B. Christensen | Regression Models for Ordinal Data: Introducing R-package ordinal | [Slides] |

| Giuseppe Bruno | Multiple choice models: why not the same answer? A comparison among LIMDEP, R, SAS and Stata | [Slides] |

| **R in the Business World, MS.02, Chair: David Smith** | |

| Derek McCrae Norton | Odysseus vs. Ajax: How to build an R presence in a corporate SAS environment | [Slides] |

**17:05 – 18:05**
| **Hydrology and Soil Science, B3.02, Chair: Thomas Petzoldt** | |

| Wayne Jones | GWSDAT (GroundWater Spatiotemporal Data Analysis Tool) | [Slides] |

| Pierre Roudier | Visualisation and modelling of soil data using the aqp package | [Slides] |

| **Biostatistical Modelling, B3.03, Chair: Holger Hoefling** | |

| Annamaria Guolo | Higher-order likelihood inference in meta-analysis using R | [Slides] |

| Cristiano Varin | Gaussian copula regression using R | [Slides] |

| **Psychometrics, MS.03, Chair: Yves Rosseel** | |

| Florian Wickelmaier | Multinomial Processing Tree Models in R | [Slides] |

| Basil Abou El-Komboz | Detecting Invariance in Psychometric Models with the psychotree Package | [Slides] |

| **Multivariate Data, MS.01, Chair: Peter Dalgaard** | |

| John Fox | Tests for Multivariate Linear Models with the car Package | [Slides] |

| Julie Josse | missMDA: a package to handle missing values in and with multivariate exploratory data analysis methods | [Slides] |

| António Pedro Duarte Silva | MAINT.DATA: Modeling and Analysing Interval Data in R | [Slides] |

| **Interfaces, MS.02, Chair: Matthew Shotwell** | |

| Xavier de Pedro Puente | Web 2.0 for R scripts and workflows: Tiki and PluginR | [Slides] |

| Sheri Gilley | A new task-based GUI for R | [Slides] |