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13:30 • An R-Dominated Workflow to Produce 850.000 Feedback Reports to Schools in (Almost) Real Time - Gabriele von Eichhorn & Elisabeth Rothe & Moritz Friedrich, Federal Institute for Quality Assurance of the Austrian School System (IQS); Roman Freunberger, http
13:30 • CRANhaven - Your backup repository for recently archived CRAN packages - Lluís Revilla, IrsiCaixa & Henrik Bengtsson, University of California San Francisco (UCSF)
13:30 • SurveymonkeyR : Tools for Communicating with Surveymonkey's API - Yasuto Nakano, Kwansei Gakuin University
13:30 • A New Correlation-Based Fuzzy Cluster Validity Index with UniversalCVI R Package - Onthada Preedasawakul, King Mongkut’s University of Technology Thonburi
13:30 • Openstatsguide - Minimum Viable Good Practices for High Quality Statistical Software Packages - Daniel Sabanés Bové, RCONIS
13:30 • Improving the Modeling of Binary Regression Based on New Proposals for Statistical Diagnostics - Alejandra Andrea Tapia Silva, Pontificia Universidad Católica de Chile
13:30 • SCM: An R package for Generalized Additive Modelling of Covariance Matrices - Vincenzo Gioia, University of Trieste
13:30 • Combining probabilistic forecasts with the `gamstackr` package - Euan Enticott, University of Bristol
13:30 • SpICE: An Interpretable Method for Spatial Data - Natalia da Silva, Universidad de la República, UDELAR
13:30 • Open Time Series Initiative - Minna Heim, RSEED at KOF Lab at ETH Zurich
13:30 • Tidy and Reproducible Projects with the Cookiecutter R Package - Felix Henninger, Ludwig Maximilian University of Munich
13:30 • R for Spatio-Temporal Handling of Moving Polygons - Lorena Abad, University of Salzburg
13:30 • Distributed GxP Workloads for R - Magnus Mengelbier, Limelogic AB
13:30 • MINT+: Web App with R Brains for SDTM Automation - Magdalena Krochmal & Adam Forys, Roche
13:30 • The Rbanism Community: Empowering Urbanists to Use Research Software Effectively and with Confidence - Claudiu Forgaci, Delft University of Technology
13:30 • Exploring the Within-Individual Variability of Human Motor Learning Using GAMLSS - Julia Wood, The University of Queensland
13:30 • Get Rolling with R in the Public Sector - Thomas Knecht & Philipp Bosch, Statistical Office of the Canton of Zurich
13:30 • Ambiorix - a web framework for R - John Coene, The Y Company
13:30 • Implementing Behavioral Nudges in Shiny - Shel Kariuki, UCD
13:30 • Multilevel Regression with Projection Pursuit Tree - Eun-Kyung Lee & Seowoo Jung, Ewha Womans University
13:30 • Using Statistical Models to Generate Optimization Problems - Florian Schwendinger, Quintik - Technologies
13:30 • CompInt: A Package for Interpretable and Comparable Reporting of Effect Sizes - Hannah Schulz-Kümpel, Department of Statistics, LMU Munich
13:30 • Use of R in Calibration of Infectious Disease Models - Nicole Swartwood, Harvard TH Chan School of Public Health
13:30 • A reproducible analysis of CRAN Task Views to understand the state of an R package ecosystem - Hugo Gruson, data.org
13:30 • Volcano.View: Building Dashboards That Aren't Slow - Michael Galanakis, Hasselt University / Novo Nordisk
13:30 • Confusion Matrices of Any Size with Number-Based Color Intensities Visualized Easily with R! - Lubomír Štěpánek, First Faculty of Medicine, Charles University, Prague & Faculty of Informatics and Statistics, Prague University of Economics and Business
13:30 • Dupseqr: Disentangling Genomic Aberrations Made Easy - Ekaterina Akimova & Philine Hoven, Laboratory for Immunological and Molecular Cancer Research
13:30 • opentimeseries: An R Package to Transform (Ugly) Data Publications into Machine-Friendly Time Series - Matthias Bannert & Minna Heim, ETH Zurich
13:30 • WebApp Studio for productionizing shiny applications, rmakrdown and R Plumber APIs
13:30 • A guide to R packages for synthetic data generation - Michael Kammer, University of Vienna
13:30 • Screening and Random Projection Tools for Regression Analysis in R - Laura Vana-Guer, TU Wien
13:30 • StatLearning: A Shiny App for Practicing Statistical Hypothesis Testing - Juan Claramunt, Leiden University
13:30 • miniSize: An R package to calculate the minimal sample size in balanced ANOVA models - Bernhard Spangl, BOKU University