Index
1
eRum2020 Contributed Program
1.1
Lightning talks
1.1.1
An enriched disease risk assessment model based on historical blood donors records
1.1.2
rdwd: R interface to German Weather Service data
1.1.3
tv: Show Data Frames in the Browser
1.1.4
Predicting the Euro 2020 results using tournament rank probabilities scores from the socceR package
1.1.5
Differential Enriched Scan 2 (DEScan2): an R pipeline for epigenomic analysis.
1.1.6
Ultra fast penalized regressions with R package {bigstatsr}
1.1.7
Supporting Twitter analytics application with graph-databases and the aRangodb package
1.1.8
Reproducible Data Visualization with CanvasXpress
1.1.9
Design your own quantum simulator with R
1.1.10
What are the potato eaters eating
1.1.11
dm: working with relational data models in R
1.1.12
Explaining black-box models with xspliner to make deliberate business decisions
1.1.13
Using open-access data to derive genome composition of emerging viruses
1.1.14
A principal component analysis based method to detect biomarker captation from vibrational spectra
1.1.15
An innovative way to support your sales force
1.1.16
ptmixed: an R package for flexible modelling of longitudinal overdispersed count data
1.1.17
One-way non-normal ANOVA in reliability analysis using with doex
1.1.18
Keeping on top of R in Real-Time, High-Stakes trading systems
1.1.19
Towards more structured data quality assessment in the process mining field: the DaQAPO package
1.1.20
Analyzing Preference Data with the BayesMallows Package
1.1.21
Predicting Business Cycle Fluctuations Using Text Analytics
1.1.22
Flexible deep learning via the JuliaConnectoR
1.1.23
Time Series Missing Data Visualizations
1.1.24
effectclass: an R package to interpret effects and visualise uncertainty
1.2
Posters
1.2.1
A flexible dashboard for monitoring platform trials
1.2.2
PRDA package: Enhancing Statistical Inference via Prospective and Retrospective Design Analysis.
1.2.3
Automate flexdashboard with GitHub
1.2.4
EasyReporting: a Bioconductor package for Reproducible Research implementation
1.2.5
NewWave: a scalable R package for the dimensionality reduction of single-cell RNA-seq
1.2.6
orf: Ordered Random Forests
1.2.7
Power Supply health status monitoring dashboard
1.2.8
First-year ICT students dropout predicting with R models
1.2.9
Benchmark Percentage Disjoint Data Splitting in Cross Validation for Assessing the Skill of Machine
1.2.10
Integrating professional software engineering practices in medical research software
1.2.11
Dealing with changing administrative boundaries: The case of Swiss municipalities
1.2.12
badDEA: An R package for measuring firms’ efficiency adjusted by undesirable outputs
1.3
Regular talks
1.3.1
Design Patterns For Big Shiny Apps
1.3.2
Using XGBoost, Plumber and Docker in production to power a new banking product
1.3.3
Astronomical source detection and background separation: a Bayesian nonparametric approach
1.3.4
Creating drag-and-drop shiny applications using sortable
1.3.5
High dimensional sampling and volume computation
1.3.6
Fake News: AI on the battle ground
1.3.7
From consulting to open-source and back
1.3.8
Deduplicating real estate ads using Naive Bayes record linkage
1.3.9
{polite}: web etiquette for R users
1.3.10
Hydrological Modelling and R
1.3.11
GeneTonic: enjoy RNA-seq data analysis, responsibly
1.3.12
A simple and flexible inactivity/sleep detection R package
1.3.13
progressr: An Inclusive, Unifying API for Progress Updates
1.3.14
varycoef: Modeling Spatially Varying Coefficients
1.3.15
FastAI in R: preserving wildlife with computer vision
1.3.16
The R Consortium 2020: adapting to rapid change and global crisis
1.3.17
Powering Turing e-Atlas with R
1.3.18
Using process mining principles to extract a collaboration graph from a version control system log
1.3.19
Manifoldgstat: an R package for spatial statistics of manifold data
1.3.20
Voronoi Linkage for Spatially Misaligned Data
1.3.21
Be proud of your code! Tools and patterns for making production-ready, clean R code
1.3.22
Going in the fast lane with R. How we use R within the biggest digital dealer program in EMEA.
1.3.23
R alongside Airflow, Docker and Gitlab CI
1.3.24
DaMiRseq 2.0: from high dimensional data to cost-effective reliable prediction models
1.3.25
How to apply R in a hospital environment on standard available hospital-wide data
1.3.26
Computer Algebra Systems in R
1.3.27
Interpretable and accessible Deep Learning for omics data with R and friends
1.3.28
Elevating shiny module with {tidymodules}
1.3.29
APFr: Average Power Function and Bayes FDR for Robust Brain Networks Construction
1.3.30
Flexible Meta-Analysis of Generalized Additive Models with metagam
1.3.31
EPIMOD: A computational framework for studying epidemiological systems.
1.3.32
CorrelAidX - Building R-focused Communities for Social Good on the Local Level
1.3.33
Interactive visualization of complex texts
1.3.34
CONNECTOR: a computational approach to study intratumor heterogeneity.
1.3.35
gWQS: An R Package for Linear and Generalized Weighted Quantile Sum (WQS) Regression
1.3.36
Transparent Journalism Through the Power of R
1.3.37
What’s New in ShinyProxy
1.4
Shiny demos
1.4.1
Visualising and Modelling Bike Sharing Mobility usage in the city of Milan
1.4.2
Media Shiny: Marketing Mix Models Builder
1.4.3
ESPRES: A shiny web tool to support River Basin Management planning in European Watersheds
1.4.4
tsviz: a data-scientist-friendly addin for RStudio
1.4.5
Mobility scan
1.4.6
Developing Shiny applications to facilitate precision agriculture workflows
1.4.7
“GUInterp”: a Shiny GUI to support spatial interpolation
1.4.8
A demonstration of ABACUS: Apps Based Activities for Communicating and Understanding Statistics
1.4.9
Scoring the Implicit Association Test has never been easier: DscoreApp
1.4.10
rTRhexNG: Hexagon sticker app for rTRNG
e-Rum2020 Program
1
eRum2020 Contributed Program
Overview of accepted contributions organized by session type.