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Brussels South Train Station PLENARY Wild Gallery
  • 4:45pm
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Shuttle Buses 5:00pm - 8:00pm

Sessions for useR! Newbies 6:30pm - 9:00pm

Meet and greet diversity scholar... 6:00pm - 6:30pm




 
 
2.01 2.02 3.01 3.02 4.01 4.02 4.03 CATERING POINTS PLENARY Wild Gallery
  • 7:45am
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Introduction to Bayesian inference with JAGS 9:30am - 11:00am

Introduction to Bayesian inference with JAGS 11:30am - 1:00pm

Modelling the environment in R: from small-scale to global applications 2:00pm - 3:30pm

Modelling the environment in R: from small-scale to global applications 4:00pm - 5:30pm

Data Carpentry: Open and Reproducible Research with R 9:30am - 11:00am

Data Carpentry: Open and Reproducible Research with R 11:30am - 1:00pm

R package development with R-hub 2:00pm - 3:30pm

R package development with R-hub 4:00pm - 5:30pm

Introduction to parallel computing with R 9:30am - 11:00am

Introduction to parallel computing with R 11:30am - 1:00pm

data.table for beginners 2:00pm - 3:30pm

data.table for beginners 4:00pm - 5:30pm

Solving iteration problems with purrr 9:30am - 11:00am

Solving iteration problems with purrr 11:30am - 1:00pm

Introduction to Natural Language Processing with R 2:00pm - 3:30pm

Introduction to Natural Language Processing with R 4:00pm - 5:30pm

Sports Analytics with R 9:30am - 11:00am

Sports Analytics with R 11:30am - 1:00pm

Introduction to optimal changepoint detection algorithms 2:00pm - 3:30pm

Introduction to optimal changepoint detection algorithms 4:00pm - 5:30pm

Dose-response analysis using R 9:30am - 11:00am

Dose-response analysis using R 11:30am - 1:00pm

OpenML: Connecting R to the Machine Learning Platform OpenML 2:00pm - 3:30pm

OpenML: Connecting R to the Machine Learning Platform OpenML 4:00pm - 5:30pm

Geospatial visualization using R 9:30am - 11:00am

Geospatial visualization using R 11:30am - 1:00pm

Spatial data in R: new directions 2:00pm - 3:30pm

Spatial data in R: new directions 4:00pm - 5:30pm

COFFEE BREAK 11:00am - 11:30am

LUNCH 1:00pm - 2:00pm

COFFEE BREAK 3:30pm - 4:00pm

WELCOME RECEPTION 5:30pm - 8:00pm

Rcpp: From Simple Examples to Machine Learning 9:30am - 11:00am

Rcpp: From Simple Examples to Machine Learning 11:30am - 1:00pm

Efficient R Programming 2:00pm - 3:30pm

Efficient R Programming 4:00pm - 5:30pm

REGISTRATION 8:00am - 9:15am




 
 
2.01 2.02 3.01 3.02 4.02 4.03 CATERING POINTS PLENARY Wild Gallery
  • 7:45am
  • 8:00am
  • 8:15am
  • 8:30am
  • 8:45am
  • 9:00am
  • 9:15am
  • 9:30am
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Robets: Forecastin...

A restricted compo...

Curve Linear Regre...

ICAOD: An R Packag...

Maximum growth rat...

Integrated Cluster...

Clustering transfo...

Extracting Meaning...

kmlShape: clusteri...

Transformation For...

A Benchmark of Ope...

Distributional Tre...

mlrHyperopt: Effor...

The Revised Sequen...

The use of R in pr...

Too good for your...

Beyond Prototyping...

Implementing Predi...

Social contact dat...

Adaptive Subgroup...

EpiModel: An R Pac...

metawRite: Review,...

**addhaz**: Contri...

**shadow**: R Pack...

**RQGIS** - integr...

Link2GI - Easy lin...

Interfacing Google...

Scalable, Spatiote...

Updates to the Doc...

Ensemble packages...

Collaborative Deve...

RL10N: Translating...

The R6 Class Syste...

Stream processing...

Architectural Elem...

Rc$^2$: an Environ...

R goes Mobile: Eff...

**rTRNG**: Advance...

How we built a Shi...

bradio: Add data m...

Interacting with d...

ShinyProxy

Developing and dep...

Text mining, the t...

manifestoR - a too...

A Tidy Data Model...

Text Analysis and...

Neural Embeddings...

RIOT SESSION 11:00am - 6:40pm

COFFEE BREAK 10:30am - 11:00am

LUNCH 12:30pm - 1:30pm

COFFEE BREAK 3:00pm - 3:30pm

COFFEE BREAK

Poster Reception 6:30pm - 10:00pm

WELCOME

Sponsor Talk Micro...

KEYNOTE: Structural Equation Modeling: models, software and stor... 9:30am - 10:30am

Analysis of German...

When is an Outlier...

Sports Betting and...

Urban green spaces...

Maps are data, so...

R-Ladies Global Co...

We R a Community-m...

How the R Consorti...

Diversity of the R...

We R What We Ask:...

Sponsor Talk Data...

KEYNOTE: Teaching data science to new useRs 3:45pm - 4:45pm

Navigating the R package universe 5:00pm - 6:30pm

REGISTRATION 8:00am - 9:15am




 
 
2.01 2.02 3.01 3.02 4.01 4.02 BRUSSELS EXPO CATERING POINTS PLENARY Wild Gallery
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Using the alphabet...

Differentiation of...

Biosignature-Based...

Interactive and Re...

Stochastic Gradien...

R-based computing...

Daff: diff, patch...

odbc - A modern da...

Improving DBI

*implyr**: A **dpl...

rdwd – manage Germ...

eseis – A toolbox...

An R Decision Supp...

Reproducible resea...

Using an R package...

map data from **na...

OpenSpat, spread t...

smires -- Calculat...

minimalRSD and FMC...

ICtest: Estimating...

Better Confidence...

Hosting Data Packa...

Clouds, Containers...

codebookr: Codeboo...

Show me the errors...

Automatically arch...

The **renjin** pac...

An LLVM-based Comp...

Performance Benchm...

*GNU R* on a Progr...

R and Tableau Inte...

The dataCompareR p...

Use of templates w...

graphiT: an intera...

**heatmaply**: an...

Plot Colour Helper...

bsplus: Using Twit...

TAGS - Table Assor...

Object-oriented ma...

Strategies for Rep...

**rags2ridges**: A...

Various Versatile...

factorMerger: a se...

Estimating the Par...

MCMC Output Analys...

An Efficient Algor...

R Package glmm: Li...

**countreg**: Tool...

How to Use (R)Stan...

brms: Bayesian Mul...

The cutpointr pack...

Preparing Datetime...

R in Minecraft

Digital Signal Pro...

Data Analysis Usin...

The R package bigs...

Advanced R Solutio...

Functional Input V...

ROI - R Optimizati...

simmer: Discrete-E...

Data Error! But wh...

ReinforcementLearn...

Deep Learning for...

R4ML: A Scalable R...

Computer Vision an...

Depth and depth-ba...

R Blogging with bl...

**redmineR** and t...

The current state...

An Introduction to...

rOpenGov: communit...

R.gov: making R wo...

nsoAPI - retrievin...

Jurimetrics: quant...

Shiny Apps for Mat...

Working with R whe...

Bayesian social ne...

difNLR: Detection...

**BradleyTerryScal...

IRT test equating...

DNA methylation-ba...

Multivariate stati...

R in research on m...

Plasmid Profiler:...

Application of R a...

Simulate phenotype...

Introducing the Dy...

Graduate from plot...

**BivRegBLS**, a n...

What is missing fr...

moodler: A new R p...

Can you keep a sec...

Scraping data with...

jug: Building Web...

Interactive graphs...

Package ggiraph: a...

Visual funnel plot...

mapedit - interact...

Exploring and pres...

R in a small-sized...

**eventstudies**:...

Automatic Machine...

R in a Pharmaceuti...

Using R to Analyze...

Statistics hitting...

An example of Shin...

Using R for optima...

Candy Crush R Saga

Gamifyr: Transform...

Ultra-Fast Data Mi...

Dinner 7:00pm - 10:00pm

COFFEE BREAK 10:30am - 11:00am

LUNCH 12:30pm - 1:30pm

COFFEE BREAK 3:00pm - 3:30pm

COFFEE BREAK

Sponsor Talk Open...

KEYNOTE: Dose-response analysis: considering dose both as qualit... 9:30am - 10:30am

Show Me Your Model...

Quantitative fishe...

*jamovi*: a spread...

The growing popula...

FFTrees: An R pack...

Community-based le...

Data Carpentry: Te...

Statistics in Acti...

A quasi-experiment...

The analysis of R...

Sponsor Talk Rstud...

KEYNOTE: Parallel Computation in R:  What We Want, and How We (M... 3:45pm - 4:45pm

SPONSOR TALK EODA

SPONSOR TALK ORACL...

SPONSOR TALK MANGO...

SPONSOR TALK ALTER...

REGISTRATION 8:00am - 9:15am

Buses 6:30pm - 7:00pm




 
 
2.01 2.02 3.01 3.02 4.02 CATERING POINTS PLENARY Wild Gallery
  • 7:45am
  • 8:00am
  • 8:15am
  • 8:30am
  • 8:45am
  • 9:00am
  • 9:15am
  • 9:30am
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naniar: Data struc...

Easy imputation wi...

Generating Missing...

How to deal with M...

Actuarial and stat...

Interactive bullwh...

Markov-Switching G...

R and Haskell: Com...

Change Point Detec...

Morphological Anal...

ompr: an alternati...

Dynamic modeling a...

IntegratedJM - an...

Detecting eQTLs fr...

Integrated analysi...

Dynamic Assessment...

Programming with t...

Modules in R

Taking Advantage o...

COFFEE BREAK 10:30am - 11:00am

LUNCH 12:12pm - 1:15pm

Sponsor Talk Rcons...

KEYNOTE: R tools for the analysis of complex heterogeneous data 9:30am - 10:30am

Teaching psychomet...

Letting R sense th...

papr: Tinder for p...

shiny.collections:...

KEYNOTE: 20 years of CRAN  1:15pm - 2:15pm

REGISTRATION 8:00am - 9:15am

CLOSING




 
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