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avatar for Rainer Stuetz

Rainer Stuetz

Austrian Institute of Technology
Digital Insight Lab
Tuesday, July 4
 

8:00am CEST

REGISTRATION Wild Gallery

9:30am CEST

Geospatial visualization using R 4.03 Rcpp: From Simple Examples to Machine Learning PLENARY Solving iteration problems with purrr 3.02

11:00am CEST

COFFEE BREAK CATERING POINTS

11:30am CEST

Geospatial visualization using R 4.03 Rcpp: From Simple Examples to Machine Learning PLENARY Solving iteration problems with purrr 3.02

1:00pm CEST

LUNCH CATERING POINTS

2:00pm CEST

Introduction to Natural Language Processing with R 3.02 Introduction to optimal changepoint detection algorithms 4.01 R package development with R-hub 2.02 Spatial data in R: new directions 4.03

3:30pm CEST

COFFEE BREAK CATERING POINTS

4:00pm CEST

Introduction to Natural Language Processing with R 3.02 Introduction to optimal changepoint detection algorithms 4.01 R package development with R-hub 2.02 Spatial data in R: new directions 4.03

5:30pm CEST

WELCOME RECEPTION CATERING POINTS
 
Wednesday, July 5
 

8:00am CEST

REGISTRATION Wild Gallery

9:00am CEST

WELCOME PLENARY

9:30am CEST

KEYNOTE: Structural Equation Modeling: models, software and stories PLENARY

10:30am CEST

COFFEE BREAK CATERING POINTS

11:00am CEST

Transformation Forests 2.02 Updates to the Documentation System for R 3.02

11:18am CEST

A Benchmark of Open Source Tools for Machine Learning from R 2.02 When is an Outlier an Outlier? The O3 plot PLENARY

11:36am CEST

Curve Linear Regression with **clr** 2.01 Distributional Trees and Forests 2.02

11:54am CEST

ShinyProxy 4.02

12:12pm CEST

Maps are data, so why plot data on a map? PLENARY The R6 Class System 3.02

12:30pm CEST

LUNCH CATERING POINTS

1:30pm CEST

Text mining, the tidy way 4.02 The use of R in predictive maintenance: A use case with TRUMPF Laser GmbH 2.02

1:48pm CEST

**RQGIS** - integrating *R* with QGIS for innovative geocomputing 3.01

2:06pm CEST

A Tidy Data Model for Natural Language Processing 4.02 How the R Consortium is Supporting the R Community PLENARY Link2GI - Easy linking Open Source GIS with R 3.01 Rc$^2$: an Environment for Running R and Spark in Docker Containers 3.02

2:24pm CEST

Interfacing Google's spherical geometry library (S2) for spatial data in R 3.01 kmlShape: clustering longitudinal data according to their shapes 2.01 Text Analysis and Text Mining Using R 4.02

2:42pm CEST

Neural Embeddings and NLP with R and Spark 4.02 Scalable, Spatiotemporal Tidy Arrays for R (stars) 3.01 We R What We Ask: The Landscape of R Users on Stack Overflow PLENARY

3:00pm CEST

COFFEE BREAK CATERING POINTS

3:45pm CEST

KEYNOTE: Teaching data science to new useRs PLENARY

4:45pm CEST

COFFEE BREAK CATERING POINTS

5:00pm CEST

Navigating the R package universe PLENARY

6:30pm CEST

Poster Reception CATERING POINTS
 
Thursday, July 6
 

9:30am CEST

KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R* PLENARY

10:30am CEST

COFFEE BREAK CATERING POINTS

11:00am CEST

Bayesian social network analysis with Bergm 4.01 Hosting Data Packages via `drat`: A Case Study with Hurricane Exposure Data 2.02 Show Me Your Model: tools for visualisation of statistical models PLENARY

11:18am CEST

Can you keep a secret? 4.02 Clouds, Containers and R, towards a global hub for reproducible and collaborative data science 2.02

11:36am CEST

**BradleyTerryScalable**: Ranking items scalably with the Bradley-Terry model 4.01 *jamovi*: a spreadsheet for R PLENARY codebookr: Codebooks in *R* 2.02

11:54am CEST

Estimating the Parameters of a Continuous-Time Markov Chain from Discrete-Time Data with ctmcd 3.01 jug: Building Web APIs for R 4.02 The growing popularity of R in data journalism PLENARY

12:12pm CEST

Automatically archiving reproducible studies with Docker 2.02 FFTrees: An R package to create, visualise and use fast and frugal decision trees PLENARY

12:30pm CEST

LUNCH CATERING POINTS

1:30pm CEST

R-based computing with big data on disk 2.01 ReinforcementLearning: A package for replicating human behavior in R 3.02 The **renjin** package: Painless Just-in-time Compilation for High Performance R 2.02

1:48pm CEST

An LLVM-based Compiler Toolkit for R 2.02 Daff: diff, patch and merge for data.frames 2.01 Deep Learning for Natural Language Processing in R 3.02 Package ggiraph: a ggplot2 Extension for Interactive Graphics 4.02

2:06pm CEST

**countreg**: Tools for count data regression 3.01 odbc - A modern database interface 2.01 R4ML: A Scalable R for Machine Learning 3.02

2:24pm CEST

Computer Vision and Image Recognition algorithms for R users 3.02 How to Use (R)Stan to Estimate Models in External R Packages 3.01 Improving DBI 2.01 mapedit - interactive manipulation of spatial objects 4.02

2:42pm CEST

*implyr**: A **dplyr** Backend for a Apache Impala 2.01 Exploring and presenting maps with **tmap** 4.02

3:00pm CEST

COFFEE BREAK CATERING POINTS

3:45pm CEST

KEYNOTE: Parallel Computation in R:  What We Want, and How We (Might) Get It PLENARY

5:15pm CEST

COFFEE BREAK CATERING POINTS

5:30pm CEST

The cutpointr package: Improved and tidy estimation of optimal cutpoints 3.01

5:35pm CEST

Preparing Datetime Data with Padr 3.01

5:40pm CEST

Automatic Machine Learning in R 4.02 The current state of naming conventions in R 3.02 Use of templates within an R package to create a (semi-)automated analysis workflow and/or report 2.02

5:50pm CEST

**heatmaply**: an *R* package for creating interactive cluster heatmaps 2.02

6:10pm CEST

Candy Crush R Saga 4.02 ROI - R Optimization Infrastructure 3.01

6:15pm CEST

simmer: Discrete-Event Simulation for R 3.01 Strategies for Reproducible Research with Packrat 2.02

6:20pm CEST

Data Error! But where? 3.01

6:30pm CEST

Buses Wild Gallery

7:00pm CEST

Dinner BRUSSELS EXPO
 
Friday, July 7
 

9:30am CEST

KEYNOTE: R tools for the analysis of complex heterogeneous data PLENARY

10:30am CEST

COFFEE BREAK CATERING POINTS

11:00am CEST

naniar: Data structures and functions for consistent exploration of missing data 2.01 Programming with tidyverse grammars 4.02

11:18am CEST

Easy imputation with the simputation package 2.01 Modules in R 4.02

11:36am CEST

Taking Advantage of the Byte Code Compiler 4.02

11:54am CEST

How to deal with Missing Data in Time Series and the imputeTS package 2.01

12:12pm CEST

LUNCH CATERING POINTS

1:15pm CEST

KEYNOTE: 20 years of CRAN  PLENARY

2:15pm CEST

CLOSING Wild Gallery