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Maximilian Mรผcke (LMU Munich)07/07/2026, 11:50Lightning Talk (5 minutes)
bbk provides a unified R interface for accessing data from major central banks, including the Deutsche Bundesbank, European Central Bank, Swiss National Bank, and Bank of England. Central bank data is widely used in economic research and financial modeling, yet each institution exposes its own API with different conventions, making reproducible data access cumbersome. bbk abstracts over these...
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Anastasiia Kostiv07/07/2026, 11:50Lightning Talk (5 minutes)
How do you bring modern, interactive data visualizations into R without writing JavaScript? The nivo.bubblechart package lets R users create responsive, animated circle packing charts using a familiar data frame workflow. Built on top of the Nivo visualization library (React + D3), it provides clean defaults, customizable colors and interactivity, and seamless Shiny integration with click and...
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Mr Igor Koลodziej (Warsaw University of Technology), Mr Mateusz Iwaniuk (Warsaw University of Technology)07/07/2026, 11:50Lightning Talk (5 minutes)
Nonignorable nonresponse (NMAR) presents a persistent challenge in official survey statistics, where missingness mechanisms depending on unobserved variables can significantly bias key national indicators. The NMAR package addresses this issue by providing a comprehensive suite of modern estimation methods within a unified API, specifically designed for the complex reality of NMAR scenarios in...
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Moritz Lang (Roche)07/07/2026, 11:50Lightning Talk (5 minutes)
R has excellent tooling for documenting functions via
roxygen2, but no equivalent for test cases. Who wrote a test? Who reviewed it? What requirement does it verify? This information often lives in comments or external documents - disconnected from the code.The
roxyreqspackage extendsroxygen2to support@metatags abovetest_that()blocks:
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Vincent Arel-Bundock (Universitรฉ de Montrรฉal)07/07/2026, 11:55Lightning Talk (5 minutes)
Policy debates, product decisions, and scientific claims all hinge on a simple question: what would happen to Y if we changed X? In this talk, I will present a practical causal inference workflow in R, using the
Go to contribution pagemarginaleffectspackage. This package offers a consistent interface for causal inference, and it is compatible with virtually all model-fitting packages in the R ecosystem. The key... -
Laura Bฤ kaลa07/07/2026, 11:55Lightning Talk (5 minutes)
It's no secret that to optimize R code one has to write it in C (or C++). This is, however, just a beginning. When does it make sense to rewrite the code? What are the typical performance sinkholes? What are the key techniques to get even more performance?
There are surprisingly few resources where you could find the answers, and my talk will try to fill that gap. Lately, I've been working...
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Dr Mรกtรฉ Szilcz (Viti Science)07/07/2026, 11:55Lightning Talk (5 minutes)
Background: Public health databases often present barriers to non-technical users through complex query interfaces requiring knowledge of variable codes and API structures. The Swedish National Board of Health and Welfare maintains a comprehensive statistical database on disease prevalence and hospital care, yet exploring these data programmatically demands substantial technical...
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ayush pundir (IIIT UNA)07/07/2026, 11:55Lightning Talk (5 minutes)
What determines success in the English Premier League โ superior
player quality, tactical approach, or transfer investment? This
study addresses that question empirically using R and the
worldfootballR package.We construct a panel dataset of 100 team-season observations
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across five EPL seasons (2019/20 to 2023/24) by combining FBref
and Transfermarkt data via worldfootballR.... -
Pawel Rucki (Roche)07/07/2026, 14:20Lightning Talk (5 minutes)
While standard LLMs are powerful for general coding, they often fall short when working with specialized or internal R packages. This usually comes down to a knowledge gap - public models simply do not have access to private packages or the most recent documentation. To solve this, we propose a shift away from a single, all-purpose assistant toward a decentralized network of agents, where each...
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Pawel Rucki (Roche)07/07/2026, 14:25Lightning Talk (5 minutes)
When an AI assistant suggests code for a specialized R package, itโs often guessing based on outdated or public data. We built
Go to contribution pagemcp.rhelpto turn local R documentation into a tool for AI coding assistants. This lightweight MCP server allows assistants to navigate Rโs documentation - finding where a function lives, reading its exact help file, and inspecting its source code. In this talk, I... -
Tina Rozsos (Vrije Universiteit Amsterdam)07/07/2026, 16:00Lightning Talk (5 minutes)
A PhD is a complex, multi-year project that involves managing a diverse range of information: from meeting notes to research ideas, from immediate tasks to long-term plans. Disorganized notes and files lead to inefficiencies, loss of information, and challenges in reproducing past workflows. This lightning talk presents a comprehensive PhD documentation template built with R and Quarto, meant...
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Dr Sinead Moylett (University of Limerick)07/07/2026, 16:00EpidemiologyLightning Talk (5 minutes)
Missing data is a structural feature of longitudinal cohort studies and can bias inference when attrition is systematic. We present an R-based evaluation of imputation strategies for ordinal outcomes in the Irish Longitudinal Study on Ageing (TILDA) across five waves. All data processing, simulation, imputation, and evaluation were implemented in R, enabling a fully reproducible workflow for...
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Mr Clievins Selva (Deutsch)07/07/2026, 16:00Lightning Talk (5 minutes)
Researchers conducting surveys and assessments often encounter commercial barriers. While convenient, platforms also come with substantial licensing costs, vendor lock-in, and data sovereignty concerns. Meanwhile, open-source alternatives typically require researchers to use separate tools for survey design, data collection, analysis and reporting. This creates inefficiencies, increases the...
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Bลaลผej Kochaลski (Politechnika Gdaลska)07/07/2026, 16:05Lightning Talk (5 minutes)
The Area Under the Receiver Operating Characteristic Curve (AUC) is a widely used measure for evaluating the performance of binary classification models. In the literature and in practice, it appears under various names and is closely related to other performance measures. We review these formulations and discuss the motivation for efficient AUC computation in empirical analysis. We survey R...
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Tomasz ลปรณลtak (Educational Research Institute, Warsaw, Poland), Dr Grzegorz Humenny (Educational Research Institute, Warsaw, Poland), Mr Bartลomiej Pลatkowski (Educational Research Institute, Warsaw, Poland)07/07/2026, 16:05Lightning Talk (5 minutes)
Polish secondary school graduates tracking system has been providing data on further educational and professional careers of Polish youth annually since 2021. Moreover, the ways of disseminating these results are constantly being developed: from static, general reports to interactive dashboards that are designed to serve the needs of specific groups of stakeholders. In our presentation we will...
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Hรฅvard R. Karlsen (NTNU)07/07/2026, 16:05Lightning Talk (5 minutes)
Logging your own work hours is an efficient way to work out what you spend your time on. It can be used to help you manage your time better, to ensure you spend an appropriate time on a project, or even to negotiate pay or responsibilities at work. In this lighting talk I show how I keep track of my own hours using R and an external tracking tool (here: Clockify). My...
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Anastasiia Kostiv07/07/2026, 16:10Lightning Talk (5 minutes)
R has long been recognized for its statistical computing power, and Shiny has revolutionized how R users build interactive applications. However, deploying Shiny apps as standalone desktop software remains cumbersome - requiring a browser, a running R session, and often a server infrastructure. What if R could power true native desktop applications? ...
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Jagoda Gลowacka-Walas07/07/2026, 16:10Lightning Talk (5 minutes)
Missing data is a common challenge in data analysis, particularly in multi-omics studies, where heterogeneous data sources and technical limitations often result in incomplete measurements. In these situations, predictive models may fail when some required variables are missing.
This presentation demonstrates ensemble learning strategies designed to improve prediction despite incomplete...
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Mr Winkle Lu07/07/2026, 16:10Lightning Talk (5 minutes)
During clinical trials, EDC data must be reviewed regularly โ from routine medical review reports to formal audit and inspection scenarios. In these contexts, reviewers do not explore data freely. They follow a predictable, structured process and need a document that clearly records what was seen, under what conditions, and what conclusions were drawn. This core distinction shapes the design...
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Janez Bijec (University of Ljubljana / Statistical office of Slovenia)07/07/2026, 16:15Lightning Talk (5 minutes)
Routine administrative data collected by healthcare payers hold significant potential for monitoring care quality, yet translating them into actionable insights requires careful statistical modeling and thoughtful communication. This talk presents a complete R-based pipeline โ from raw reimbursement data to an interactive Shiny dashboard โ developed to benchmark hospital performance for...
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Juan Claramunt Gonzalez (Leiden University)07/07/2026, 16:15Lightning Talk (5 minutes)
metacart 3.0 integrates regression and classification trees into the framework of meta-analysis to perform exploratory moderator analysis. Meta-regression trees identify, based on the study characteristics and their interactions, subgroups of studies that maximize within-subgroup homogeneity of effect sizes. To avoid overfitting, the resulting tree is pruned using cross-validation. Finally,...
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Dr Matthew Valko (Boehringer Ingelheim Pharma GmbH & Co. KG), Dr Saumil Shah (Boehringer Ingelheim Pharma GmbH & Co. KG)07/07/2026, 16:15Lightning Talk (5 minutes)
Simulations are a great tool to support decisions on optimal trial designs. Trial designs have evolved from simple 2-arm treatment comparison to multi-arm dose-finding, adaptive designs, and platform trials. R is a popular and important tool for those in the pharmaceutical industry. R6 programming and supporting R functions have allowed us to design a package rxsim that is flexible enough to...
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Rozeta Simonovska07/07/2026, 16:20Lightning Talk (5 minutes)
Part of the responsibilities of a statistician working on clinical trials is reviewing tables, listings, and figures (TLFs) to ensure accuracy and compliance. However, the review process can be challenging due to the volume of outputs and the dynamic nature of clinical trial data. A common issue arises when outputs are reviewed and checked, but subsequent data updates or programming changes...
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Liam Mueller (UC San Diego)07/07/2026, 16:20Lightning Talk (5 minutes)
How should we best model multinomial tradeoffs? When there are only two options that sum to 100 percent, it can be straightforward to employ options like GLM to address research questions with binomial response data, but when there are more than two groups, these multinomial models become too complex to perform and too convoluted for our audience to understand. However, using simplexes to...
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CRISTIANE MILLAN (NIC.br โ Brazilian Network Information Center)07/07/2026, 16:20Lightning Talk (5 minutes)
Reliable Internet connectivity is a foundational requirement for digital health services such as telemedicine, electronic health records, and remote diagnostics. Without adequate connectivity, efforts to modernize healthcare systems risk reinforcing existing regional and socioeconomic inequalities.
Go to contribution pageBrazil has approximately 50,000 Primary Health Care Units distributed across a vast and... -
Ms Susanne Steinmann (Clinical Cancer Registry Lower-Saxony, Team Data Analysis)07/07/2026, 16:25Lightning Talk (5 minutes)
The R language and R Studio are widely used in most of the federal cancer registries in Germany; but only few have special โR onboardingโ programs. Therefore, a R user group โForum Rโ was initiated in 2021 as part of the expert panel of the clinical cancer registries โPlattform ยง 65cโ. This โForum Rโ aims for networking and further education for employees of the cancer registries in Germany in...
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Martin Zuba (Austrian National Public Health Institute (GOEG)), Zuzanna Brzozowska (Austrian National Public Health Institute (GOEG))07/07/2026, 16:25Lightning Talk (5 minutes)
The Austrian Health Atlas is an open-access platform using interactive charts and maps to intuitively illustrate public health data. Developed by the Austrian National Public Health Institute (GรG), the Gesundheitsatlas shows trends, determinants and socio-economic differences in the health of the Austrian population, offering both international and subnational comparisons.
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The platform's... -
Wojciech Wรณjciak (Warsaw University of Technology)07/07/2026, 16:25Lightning Talk (5 minutes)
Optimum allocation of sample sizes across strata is a fundamental problem in survey sampling. When designing a stratified survey, researchers must decide how to distribute a fixed total sample size among strata in order to achieve specific statistical goals, such as minimizing estimator variance or minimizing survey cost subject to precision constraints. Classical results, such as...
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Adam Forys (Roche), Krystian Igras (7N)07/07/2026, 16:30Lightning Talk (5 minutes)
To filter data, users need to know dataset structures, variable names, and valid value ranges. The cohortBuilder R package offers a common API for multi-step filtering across data frames, databases, and custom backends. The shinyCohortBuilder package adds an interactive Shiny GUI on top of it.
We introduce a metadata layer in cohortBuilder that connects filtering pipelines to large...
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Dr Saras Windecker (The Kids Research Institute, Perth, Australia)07/07/2026, 16:30Lightning Talk (5 minutes)
Real-time growth and prevalence of infectious diseases are vital information for epidemic response. Yet it is rare to directly observe infections, and so we must reconstruct infection trends from delayed and imperfect alternatives, including time-series of case counts and cross-sectional infection prevalence surveys. Joint inference from multiple data can improve estimates of infection trends,...
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January Weiner07/07/2026, 16:30Lightning Talk (5 minutes)
The principle of scientific accountability is more than reproducibility of data analysis: each result โ figure, table or p-value must be unequivocally and easily tracked to the original data from which it originates. In many bioinformatics workflows this kind of accountability is difficult to maintain, particularly in interactive web applications where exploratory analyses are performed...
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Dr Brittany Blankinship (The University of Edinburgh), Dr Pawel Orzechowski (The University of Edinburgh)07/07/2026, 16:35Lightning Talk (5 minutes)
Coding and data have been hijacked by macho-nonsense culture (and the teaching of coding even more so). We noticed a unique opportunity to write a book comprised of a range of case studies and ideas which flip the table and flip the narrative.
Over the last 5 years we have built a community of coding and data educators who teach outside of traditional computer science settings. Our 300+...
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Isaac Gravestock (Roche)07/07/2026, 16:35Lightning Talk (5 minutes)
In clinical trials involving time to disease progression that can only be assessed at clinical visits, the real time to event is interval censored between visits, eg tumour assessments in progression-free survival (PFS) outcomes in oncology trials. In the typical analysis of PFS, we systematically impute the event time to be the visit where the progression was detected.
In many cases the...
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Raniere Gaia Costa da Silva07/07/2026, 16:35Lightning Talk (5 minutes)
This task will show how [JupyterLite][1] can improve a community hosted training session by reducing the friction for learners to access JupyterLab in class and later at home.
JupyterLite is a distribution of Jupyter for WebAssembly (Wasm) enabling JupyterLab to run completely (including the Jupyter server) in a modern web browser. Support to R on JupyterLite was added in 2025.
For...
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Tomasz Gieorgijewski (Rappsodia Labs)07/07/2026, 16:40Lightning Talk (5 minutes)
Amethyst: new R's graphics device on macOS in the making.
I wanted to deepen my Rโs contributions in the domain of graphics, specifically on Mac computers.
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So I set myself on a project to create a new graphical device for R language.
In the talk I will present my motivations for starting such project, what is the current state of graphical devices, especially the native one, shipped with... -
Matthew Haffner (University of Wisconsin - Eau Claire)07/07/2026, 16:40Lightning Talk (5 minutes)
Teaching university courses in geography, urban planning, and spatial data science demands tools that can convey place, and R is remarkably well-suited to the task. This talk presents a reproducible R-based teaching infrastructure built around several components: interactive spatially-enabled presentations, a course website ecosystem, and a reporting system leveraging the Canvas API. Lectures...
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Melissa Bather (The University of Auckland)07/07/2026, 16:40Lightning Talk (5 minutes)
Author information:
Melissa Bather is a statistician from New Zealand, currently living in Vancouver, BC, Canada. She has a Master of Science in Statistics with First Class Honours from the University of Aucklandโthe birthplace of R! She is currently researching new methods to introduce multi-species models into the field of spatially explicit capture-recapture for the University of...
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225. ApoBcomp: An R Shiny Framework for Apolipoprotein B Estimation and Cardiovascular Risk ModelingMs Aleyna Erakcaoฤlu (Department of Biostatistics, Erciyes University School of Medicine, Kayseri, Tรผrkiye)07/07/2026, 16:45Lightning Talk (5 minutes)
Apolipoprotein B (ApoB) is a key biomarker reflecting the number of atherogenic lipoprotein particles and is increasingly recognized as a superior indicator of cardiovascular risk compared to traditional lipid measures. However, direct ApoB measurement is not always routinely available in clinical practice, and existing tools do not provide an integrated framework for its estimation and...
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Florian Sihler (Ulm University)08/07/2026, 11:50Lightning Talk (5 minutes)
R provides a plethora of packages and features that support the dynamic and interactive exploration of data.
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Yet, there is a lack of static analysis tools which support program comprehension, reproducibility, and software engineering practices.
With flowR we provide not just a static analysis framework, but also an easily accessible extension for common IDEs such as [Visual Studio... -
Maciej Banas08/07/2026, 11:50Lightning Talk (5 minutes)
The presentation will introduce
jsplyr, a new and experimental R package providing adplyrinterface for lazy-evaluated data manipulation in JavaScript. The package is designed to offload heavy data calculations from the server to the web browser, making it particularly useful in shiny applications.The talk will begin with the rationale behind creating
Go to contribution pagejsplyrand its current... -
John Kloke (Northern Michigan University)08/07/2026, 11:50Lightning Talk (5 minutes)
We discuss updates to Rfit - an R package for computation of rank-based procedures for general linear models (GLMs) including estimation of parameters, inference, and residual analysis. These estimates and the associated inference are robust to outliers in response space and highly efficient relative to traditional least squares methods.
In this talk, we highlight some recent, ongoing, and...
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Adam Struzik (Adam Mickiewicz University in Poznaล)08/07/2026, 11:55Lightning Talk (5 minutes)
In this paper, we present the
Go to contribution pageautomatedRecLinR package (available on CRAN), designed to perform record linkage based on an entropy-maximizing classifier. First, we briefly introduce the maximum entropy classification algorithm for record linkage, originally proposed by Lee et al. (2022, Surv. Methodol.), and describe an extension that allows for the use of continuous comparison functions.... -
Alfredo Hernandez Sanchez (Vilnius University)08/07/2026, 11:55Lightning Talk (5 minutes)
This talk presents a practical workflow for taking a Shiny app from local development to a public production deployment using Google Cloud Run. Drawing on the deployment of a real dashboard, I show how to package a Shiny app in a container, deploy it as a managed web service, connect it to a custom domain, and update it through a lightweight GitHub based workflow.
Rather than treating...
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Alex K. Hagen (Potsdam Institute for Climate Impact Research (PIK))08/07/2026, 11:55Lightning Talk (5 minutes)
Scenario analysis lets us explore โwhat-ifโ futures for climate change, linking todayโs decisions to long-term impacts. Systematic comparison of scenarios for transport โ a key sector for emission reductions โ can inform decision-making in policy and investments. Decarbonization of passenger and freight transport depends on mode shifts and the adoption of low-carbon technologies like electric...
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Thierry Onkelinx (Research Institute for Nature and Forest (INBO))08/07/2026, 11:55Lightning Talk (5 minutes)
The
Go to contribution pagechecklistR package has undergone significant evolution, with a major focus on flexible organisation management and improved quality control workflows.
The most substantial change is the introduction of theorg_listandorg_itemclasses (v0.5.0), which supersede the previousorganisationclass.
This redesign enables research groups to define and enforce their own institutional... -
Maciej Romaniuk (Systems Research Institute, PAS)08/07/2026, 14:20Lightning Talk (5 minutes)
Imputation methods are widely used to replace missing values in datasets, thereby improving the overall quality of samples and enabling further statistical procedures. Various measures and tools were proposed to compare the effectiveness and results of the imputation algorithms. However, they only aim at โcrispโ (i.e., real-valued) datasets. Meanwhile, fuzzy sets are widely used to model...
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Shuai Wu (MSD)08/07/2026, 14:20Lightning Talk (5 minutes)
The development of R packages for Bayesian analysis is often slowed by the computationally intensive nature of MCMC sampling, which turns iterative testing into a major bottleneck. A recurring challenge in this domain is the trade-off between saving large fitted model objects to disk versus regenerating them on each test run, a question coming up repeatedly during local development, continuous...
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Magnus Mengelbier (Independent / Freelancer)08/07/2026, 14:25Lightning Talk (5 minutes)
The R language can be found on laptops, servers, clusters and high performance compute environments as well as embedded within databases, services, agents and business domain solutions. As the sheer number of analyses, more compute intensive analysis methods and the size of data steadily increases, using R for analysis at scale is becoming a math problem that seems to have no one simple...
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Tina Rashid Jafari (Monash University, Australia)08/07/2026, 14:25Lightning Talk (5 minutes)
- Author: Tina Rashid Jafari, Department of Econometrics and Business Statistics, Monash University, Australia, Email: tina.rashidjafari@monash.edu
- Title: spinebil: Practical Diagnostics for Index Reliability in Exploratory Data Analysis
- Primary Topic: Statistical Graphics/ Exploratory Data Analysis
- Keywords: Exploratory Data Analysis; Data Visualization;...
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Seun Olufemi (Bioinformatics Outreach Nigeria)09/07/2026, 11:50Lightning Talk (5 minutes)
Computational literacy remains a critical gap among life scientists in sub-Saharan Africa, limiting their contribution to global science and competitiveness in data-driven research careers. Bioinformatics Outreach Nigeria (BON) organised a 3-day intensive R training for life scientists, covering base R, data types and structures, data cleaning, tidyverse-based manipulation, and ggplot2...
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Daniele Girolimetto (Department of Statistical Sciences, University of Padova)09/07/2026, 11:50Lightning Talk (5 minutes)
Forecast reconciliation has become key to improving the accuracy and coherence of forecasts for linearly constrained multiple time series, such as hierarchical and grouped series. Yet, comprehensive software that jointly covers cross-sectional, temporal, and cross-temporal reconciliation has so far been lacking. The R packages FoReco and FoRecoML address this gap by offering a comprehensive...
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Tomasz Kalinowski (Posit PBC)09/07/2026, 11:50Lightning Talk (5 minutes)
R is an interactive environment. Working effectively with R means being able to interact with a live session to inspect objects, view and iterate on plots, access help, and step through running code in the debugger. Making LLMs effective in R therefore means more than giving them a way to execute code: it means exposing Rโs interactive affordances in a form the model can use.
This talk...
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Dr Hรฅvard R. Karlsen (NTNU)09/07/2026, 11:50Lightning Talk (5 minutes)
Traditional presentation software like PowerPoint or Keynote are commonly used for teaching, but not ideal for displaying and running code, as it involves a lot of copying and pasting. Moving to presenting Quarto documents makes it much easier to incorporate code and output in the presentation. But it can be daunting as it involves learning a new framework for creating and presenting slides....
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Martin Binder (Department of Statistics, LMU Munich)09/07/2026, 11:55Lightning Talk (5 minutes)
To explore the behaviour of expensive black-box functions, such as machine learning model evaluations or physical simulations, it is often useful to fit a surrogate regression model to a sequence of evaluated points. Choosing these points adaptively, rather than relying on a pre-specified design, is advantageous because it places greater emphasis on regions of the configuration space where the...
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Henrik Bengtsson (Futureverse.org, R Foundation, R Consortium, Bioconductor, R anno 2000, University of California San Francisco (UCSF))09/07/2026, 11:55Lightning Talk (5 minutes)
The ability to execute arbitrary R code securely is becoming increasingly critical, e.g., for use cases ranging from AI agents executing LLM-generated code to peer-to-peer (P2P) compute clusters. Sandboxing techniques such as virtual machines and Linux containers are commonly used to isolate the host machine from untrusted code. Because these technologies can be complicated to set up, and...
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Aleksander Jankowski (University of Warsaw)09/07/2026, 11:55Lightning Talk (5 minutes)
The identification of overrepresented Gene Ontology (GO) terms in a set of genes is a standard approach to obtain functional associations, e.g. to characterize the set of differentially expressed genes between treatment and control samples. Here, we present the R package GO-a-GO that annotates Gene Ontology terms that are enriched in a given set of gene pairs. This provides the opportunity to...
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Marta Bernardi (TU Dresden), Sarah Listabarth (TU Dresden)09/07/2026, 11:55Lightning Talk (5 minutes)
Our first session doesn't start with R. It starts with asking students to unzip a folder. Every year, some of them can't.
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This is the reality of teaching empirical economics today. Students arrive having grown up on tablets and smartphones, fluent in apps but lost in a file system. Getting them to difference-in-differences feels, at first, impossibly far away.
And yet, that's exactly what we... -
Sina Chen (GESIS Leibniz Institute for the Social Sciences)Building tools for reproducible researchLightning Talk (5 minutes)
The philosophy of the R package paperboy is that the package is a repository for webscraping scripts for news media sites, with advanced features for quick data retrieval - even for content behind log-ins or anti-scraping measures. Many data scientists and researchers write their own code when they have to retrieve news media content from websites. At the end of research projects, this code is...
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