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Invited Talk
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Biostatistics
Business/Machine learning
Community/Education
Ecology/Statistics
General
Reporting
R Initiatives
Sponsor talk
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Bioinformatics I
Bioinformatics II
Business and Management
Clustering
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Data reproducibility
Education
GIS
Graphics
HPC
Kaleidoscope I
Kaleidoscope II
Machine Learning I
Machine Learning II
Medical statistics
Methods I
Methods II
Methods in Business and Finance
Missing Data
Packages
Programming I
Programming II
Psychometrics and social statistics
Shiny I
Shiny II
Statistical Modelling I
Statistical Modelling II
Text Mining
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5
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Popular
Back to Speakers
BH
Brian Hoang
Microsoft
Software developer
Seattle, WA
Wednesday
, July 5
9:30am CEST
KEYNOTE: Structural Equation Modeling: models, software and stories
PLENARY
11:18am CEST
A Benchmark of Open Source Tools for Machine Learning from R
2.02
11:36am CEST
Sports Betting and R: How R is changing the sports betting world
PLENARY
12:12pm CEST
The R6 Class System
3.02
1:48pm CEST
Architectural Elements Enabling R for Big Data
3.02
2:06pm CEST
Rc$^2$: an Environment for Running R and Spark in Docker Containers
3.02
2:24pm CEST
R goes Mobile: Efficient Scheduling for Parallel R Programs on Heterogeneous Embedded Systems
3.02
2:42pm CEST
Neural Embeddings and NLP with R and Spark
4.02
Thursday
, July 6
9:15am CEST
Sponsor Talk Open Analytics
PLENARY
9:30am CEST
KEYNOTE: Dose-response analysis: considering dose both as qualitative factor and quantitative covariate- using R*
PLENARY
11:00am CEST
Bayesian social network analysis with Bergm
4.01
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
12:12pm CEST
Automatically archiving reproducible studies with Docker
2.02
1:30pm CEST
R-based computing with big data on disk
2.01
1:48pm CEST
Deep Learning for Natural Language Processing in R
3.02
2:06pm CEST
odbc - A modern database interface
2.01
2:24pm CEST
Computer Vision and Image Recognition algorithms for R users
3.02
3:45pm CEST
KEYNOTE: Parallel Computation in R: What We Want, and How We (Might) Get It
PLENARY
Friday
, July 7
11:36am CEST
Taking Advantage of the Byte Code Compiler
4.02
11:54am CEST
R and Haskell: Combining the best of two worlds
2.02
12:12pm CEST
LUNCH
CATERING POINTS
1:15pm CEST
KEYNOTE: 20 years of CRAN
PLENARY
2:15pm CEST
CLOSING
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BRUSSELS EXPO
Brussels South Train Station
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Bioinformatics I
Bioinformatics II
Business and Management
Clustering
Community
Data management
Data reproducibility
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GIS
Graphics
HPC
Kaleidoscope I
Kaleidoscope II
Machine Learning I
Machine Learning II
Medical statistics
Methods I
Methods II
Methods in Business and Finance
Missing Data
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Programming II
Psychometrics and social statistics
Shiny I
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Statistical Modelling I
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Web
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197
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205
206
207
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260
264
272
274
292
303
307
309
321
323
331
333
341
345
347
370
377
381
383
387
393
395
400
406
408
414
419
422
424
426
434
440
442
458
464
466
468
470
482
484
486
488
492
502
510
512
514
516
522
532
536
542
550
556
561
563
573
578
582
584
588
594
601
620
622
627
630
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640
648
653
657
659
666
671
677
679
681
685
695
697
699
701
720
723
725
727
729
735
738
740
743
745
747
757
761
770
772
774
776
778
786
790
794
798
800
802
804
806
813
831
839
841
843
845
855
859
867
869
871
873
875
879
881
898
902
904
906
910
912
917
920
922
928
936
938
940
942
955
970
972
974
978
980
997
1008
1027
1029
1035
1037
1043
1046
1058
1060
1062
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1068
1072
1087
1102
1111
1119
1131
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Popular
Recently Active Attendees
F
F789GH
L
labedroomdomia
Colin Gillespie
RV
Roel Verbelen
Steven A. Rodriguez
Patrick Stotz
gstricker
Benedict Witzenberger
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