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Yasuto NAKANO (Kwansei Gakuin University)07/07/2026, 17:00Poster
The purpose of this talk is to present md2qstn, a specialized R library developed to bridge the gap between plain-text survey drafting and digital deployment. md2qstn enables the conversion of Markdown-formatted questionnaires into DDI(Data Documentation Initiative)-compliant XML and Qualtrics-compatible QSF(Qualtrics Survey Format) JSON files. Although the prevailing approach in...
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Isaac Gravestock (Roche)07/07/2026, 17:00Poster
Google slides is a widely available productivity tool used by many institutions but is not well integrated with existing R ecosystem workflows such as Rmarkdown, which has made its use incompatible with reproducible research and reporting. ladder is an R package for inserting tables into Slides presentations and supports multiple table formats from R.
In particular it supports flextable...
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H. Sherry Zhang (University of Texas at Austin)07/07/2026, 17:00Poster
Decision choices, such as those made when building regression models, and their rationale are essential for interpreting results and understanding uncertainty in an analysis. However, these decisions are rarely studied because tracing every alternatives considered by authors is often impractical, and reworking a completed analysis is generally of limited interest. Consequently, researchers...
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shristi y (IIIT UNA)07/07/2026, 17:00Poster
The widespread adoption of digital music streaming platforms has created unprecedented opportunities to analyze large-scale music consumption data. This study investigates global music trends by analyzing Spotify track data using statistical and visualization techniques implemented in R. The objective is to explore how various audio features—including danceability, energy, valence,...
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Florian Sihler (Ulm University)07/07/2026, 17:00Poster
In the past months, we built a tool to analyze all versions (roughly 170,000) of all packages available on CRAN, obtaining around 80 GB of raw data on various semantic aspects such as call graphs of functions, dead code, values of constants, the coverage of provided vignettes, transitive dependencies of packages, and much more. Moreover, the data is linked to the release date and...
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Claudiu Forgaci (Delft University of Technology)07/07/2026, 17:00Poster
Spatially designing and planning urban transformations around rivers while capturing the complexities of riverside urban areas remains challenging. An essential part of the challenge is how boundaries are drawn in the analysis of urban areas surrounding rivers. To overcome this challenge, we developed the
Go to contribution pagercrispopen-source R package to automate the morphological delineation of riverside... -
Claudiu Forgaci (Delft University of Technology)07/07/2026, 17:00Poster
The Spatial Data Science across Languages (SDSL) Community brings together developers and users of common and emerging programming languages for spatial data science. It aims to foster understanding and address common issues while discussing language-specific problems. We focus broadly on geospatial and geographic space, with some applications to general image spaces and local reference...
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Daisuke Ichikawa (Kibaroku), Koji Makiyama (HOXO-M Inc.), Shinichi Takayanagi, kazuyuki sano07/07/2026, 17:00Poster
Online A/B tests often randomize at the user level while evaluating ratio metrics at a finer-grained unit, such as page views or sessions. This mismatch induces within-user correlation and can make standard Z-tests anti-conservative, increasing false positives. The deltatest package provides an R interface for delta-method-based hypothesis testing of ratio metrics, following the practical...
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174. Flexible Aggregation with SUOWA Operators in R. An Implementation Based on the Choquet IntegralTeresa Gonzalez-Arteaga (Universidad de Valladolod)07/07/2026, 17:00Poster
Aggregation functions play a central role in decision making, and among them, weighted means and Ordered Weighted Averaging (OWA) operators are two of the most widely used families. Their relevance is reinforced by the fact that both can be expressed as particular cases of the Choquet integral, which has inspired numerous attempts to develop unified generalizations of these operators.
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Mauro Loprete (Universidad de la República, Uruguay)07/07/2026, 17:00Poster
Household survey microdata is a primary input for social science research and public policy evaluation, yet the processing pipelines that turn raw microdata into publishable estimates are rarely documented, shared, or reproduced. Each research team writes ad hoc scripts to recode variables, construct indicators, and compute weighted statistics, duplicating effort and introducing silent...
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Ward Langeraert (Research Institute for Nature and Forest)07/07/2026, 17:00Analysis best practices and workflowsPoster
Scaling research software beyond single scripts or standalone packages requires deliberate architectural choices, shared conventions, and robust distribution infrastructure. This poster presents the b3verse, a coordinated ecosystem of twelve interoperable R packages designed to transform large biodiversity occurrence cubes into standardized indicators for research and policy...
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Dr Oscar de Leon (Universidad del Valle de Guatemala)07/07/2026, 17:00Poster
Air pollution exposure research relies on a growing diversity of wearable personal exposure monitors (PEMs), each producing log files with distinct header structures, column naming conventions, and measurement units. The R ecosystem already offers strong infrastructure at adjacent layers for network-level data (
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Mr Marc Becker (Ludwig-Maximilians-Universität München)07/07/2026, 17:00Poster
We present rush, an R package for asynchronous and decentralized optimization. Traditional approaches for parallel computing in R follow a controller-worker model where a central process proposes tasks, dispatches them to workers, and collects results. When proposing new tasks is computationally expensive, the central controller becomes a bottleneck that leaves workers idle, a problem that...
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Vihan Singh (Indian Institute of Information Technology Una)07/07/2026, 17:00Poster
The increasing availability of structured sports datasets has created new opportunities for applying statistical analysis and predictive modeling techniques to sports analytics. The Indian Premier League (IPL) provides detailed match and ball-by-ball datasets that allow in-depth statistical exploration of match dynamics and performance patterns. This study applies statistical analysis and...
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Claudiu Forgaci (Delft University of Technology)07/07/2026, 17:00Poster
The Rbanism community aims to empower urbanism researchers, students, educators and practitioners to use open-source software and related open-science practices effectively and with confidence. It raises awareness, stimulates engagement and builds capacity by demonstrating the benefits of reproducibility, automation and scalability. Rbanism was initiated in 2021 by a group of R users in the...
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Hanna Meyer (University of Münster)07/07/2026, 17:00Poster
One key task in environmental science is the continuous mapping of environmental variables across space, and often across both space and time. Machine learning algorithms are frequently employed for this purpose, combining local field observations with comprehensive sets of predictor variables to produce spatial predictions. This enables the prediction of the variable of interest at locations...
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Victor Yu (Hertfordshire County Council, UK)08/07/2026, 16:20Poster
This package allows the user to perform interrupted time series (ITS) with a control across successive interventions (up to 3). This code is based on a prior analysis done at our county where we compared the effect of two successive behavioural interventions designed in improving the uptake of a COVID-19 booster intervention programme amongst immunosuppressed patients at several primary care...
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Dr Filip Křikava (Czech Technical University in Prague)08/07/2026, 16:20Poster
Dynamic programming languages are increasingly adopting explicit type annotations. Not only do they serve as documentation, but they also enable static type checking to eliminate entire classes of bugs and help tools provide a better development experience. In this talk, we will present our advancements in bringing types to R, including a type system with a static type checker with type...
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Patryk Kołbyko (Szkoła Doktorska Nauk Społecznych UMCS. Uniwersytet Marii Curie-Skłodowskiej w Lublinie)08/07/2026, 16:20Poster
This study presents an end-to-end R-based workflow for estimating Poland’s natural rate of interest within a Bayesian vector error-correction setting. The empirical objective is to recover an equilibrium real interest rate and the associated monetary policy stance gap, whereas the methodological contribution lies in demonstrating how advanced macroeconometric inference can be structured,...
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Ozancan Ozdemir (University of Groningen)08/07/2026, 16:20Poster
The increasing complexity of financial markets demands analytical tools that combine real-time data access, rigorous statistical modelling, and intuitive visual communication within a single, reproducible framework. This study presents FinDash Pro, a production-grade interactive dashboard developed entirely in R using the Shiny ecosystem, designed to bridge the gap between...
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Serra İlayda Yerlitaş Taştan (Department of Biostatistics, Erciyes University, Faculty of Medicine, 38030, Kayseri, Türkiye)08/07/2026, 16:20Poster
Accurate diagnosis often requires the integration of multiple biomarkers rather than relying on a single test. However, existing tools for combining diagnostic tests are limited in methodological diversity and usability, especially for clinicians without programming expertise. To address this gap, we present dtComb-Shiny, a user-friendly web-based interface built on the dtComb R package. The...
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Ms Daphne Grasselly (Roche), Magdalena Krochmal (Roche)08/07/2026, 16:20Poster
Medical Data Review (MDR) in clinical trials requires study teams to examine patient-level data across dozens of CRF domains — adverse events, labs, vitals, ECGs, and more. Traditionally, this relies mainly on static listings generated per study, requiring extensive setup and line-by-line inspection. We present an R framework, built on teal, that replaces this workflow with interactive,...
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Karolina Widzisz (Department of Computer Graphics, Vision and Digital Systems, Silesian University of Technology, Gliwice, Poland)08/07/2026, 16:20Poster
We present a synthetic data generator for simulation studies in clustering and partition comparison. The generator creates datasets with controlled cluster structures and predefined similarity levels between alternative partitions, enabling systematic analysis of clustering algorithms' stability.
The framework uses a Gaussian mixture distribution and generates data through a three-stage...
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Laure Cougnaud (Open Analytics NV)08/07/2026, 16:20Poster
The use of R packages in a regulated environment as in pharmaceutical companies might require a formal validation of the R package.
The Validation Hub introduces best practices and insights from pharmaceutical industries for the validation of R packages for use within the biopharmaceutical regulatory setting.
We will contribute to this effort by presenting a git-based workflow to...
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Marcin Dubel (Appsilon)08/07/2026, 16:20Poster
Building exploratory analysis dashboards for clinical trials requires considerable expertise, extensive time, and deep familiarity with specialized frameworks. In this talk, we share our GenAI solution to significantly streamline this process. We will present a tool, powered by Claude Code, that enables biostatisticians and clinical researchers to effortlessly create and immediately preview...
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Adam Forys (Roche), Magdalena Krochmal (Roche)08/07/2026, 16:20Poster
AI code assistants such as Claude Code, opencode, and Aider can read, write, and run code. However, they work separately from the user's R session. They cannot look at live objects, call R functions, or update a running Shiny application. We present a way to connect these assistants directly to R and Shiny using the Model Context Protocol (MCP).
The main idea is to use CLI-based AI agents...
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Winkle Lu08/07/2026, 16:20Poster
Clinical trial data analysis typically focuses on specific analysis datasets, but the complete journey of individual patients — from screening, enrollment, and first dose, through visit records and adverse events, to last dose and survival status — represents critical time-based data points that reviewers prioritize. This fragmentation of information forces reviewers to switch between multiple...
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Angelika Meraner (Statistics Austria)08/07/2026, 16:20Poster
persephone3 is the updated R framework developed at Statistics Austria to enable efficient processing of large sets of time series in the production of seasonally adjusted estimates. It modernizes the original [persephone][1] package by moving from the RJDemetra backend to the new [rjd3 ecosystem][2], ensuring long term maintainability and compatibility with current JDemetra+...
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Dr Jan Simson (LMU Munich)08/07/2026, 16:20Poster
We present peRsian, an R package containing color palettes based on handcrafted Persian carpets for use in data visualization. peRsian is a tribute to centuries of Persian carpet-making, a craft that’s been alive for over two thousand years. It’s dedicated to the incredible artisans who’ve kept this tradition alive: especially the women who spent countless hours knotting and weaving every...
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Yuki Yanai (Kochi University of Technology)08/07/2026, 16:20Poster
We have developed rgamer, an R package for learning and applying game theory. The goal of rgamer is to support both teaching and learning by enabling students to explore game-theoretic concepts and instructors to demonstrate them effectively in R. The package not only solves standard models such as two-person normal-form games, but also provides visualizations that highlight key structural...
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Prakhar Srivastava (Indian Institute of Information Technology Una)08/07/2026, 16:20Poster
This project offers a data-driven look at India’s socio-economic growth using the R programming language. The goal is to examine how key indicators like population, literacy rate, GDP growth, and other development measures have changed over time in various regions of India. By using publicly available datasets, the project employs statistical analysis and visualization techniques in R to turn...
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Joanna Zyla (Department of Data Science and Engineering, Silesian University of Technology, Gliwice, Poland)08/07/2026, 16:20Poster
Gaussian Mixture Modeling (GMM) is a one of unsupervised techniques used in many fields of data analysis, such as bioinformatics, pattern recognition, and network traffic analysis. Yet, existing R implementations often lack support for binned data (commonly observed in image analysis) and suffer from initialization instability or massive memory usage. To address these limitations, the novel R...
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Daisuke Ichikawa (Kibaroku), Koji Makiyama (HOXO-M Inc.), Shinichi Takayanagi, kazuyuki sano08/07/2026, 16:20Poster
TheseusPlot is an R package for explaining why a rate metric (e.g., conversion rate, retention rate, or on-time rate) differs between two groups, such as time periods, cohorts, or A/B variants. The package decomposes an overall difference into contributions from individual subgroups using a procedure inspired by the Ship of Theseus: starting from Group A, it replaces subgroup data with the...
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Dr Wang Pok Lo (University of Oxford)08/07/2026, 16:20Poster
Simulation studies allow comparisons of performance between statistical methods to be made. Tables are traditionally used to report study results, which are usually performance measures such as bias, empirical standard error, average model standard error and coverage. In large simulation studies, these tables of results may become too large for patterns to be readily identified. This occurs...
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