R Consortium

New from the R Consortium nlmixr2 Working Group:

The nlmixr2 Working Group is expanding what open-source R tooling can support in pharmacometrics, including time-to-event modeling workflows that are important in clinical and drug-development settings.

This new post highlights technical work from Justin Wilkins and the nlmixr2 Development Team on fitting parametric time-to-event models in nlmixr2.

Read more:
https://r-consortium.org/posts/survival-analysis-with-nlmixr2/

#RStats #Pharmacometrics #PKPD #ClinicalResearch #OpenSource

R/Medicine continues with a hands-on R Consortium workshop on AI + health data.

Garrett Grolemund, co-author of R for Data Science, creator of the Lubridate R package, and ASA award-winning educator, will show how to use Positron, AI agents, Quarto, Shiny, QueryChat, and Posit Connect to build and share reproducible health data insights.

Use AI to build and share insights from health data
June 11, 2026
12pm–3pm ET

Register:
https://r-consortium.org/webinars/use-ai-to-build-and-share-insights-from-health-data.html

#RStats #HealthData #AI #Quarto #Shiny

In a new post, R Consortium Executive Director Terry Christiani explains why open-source languages, packages, documentation, standards, and public examples are part of the foundation for better AI-enabled development.

For companies that depend on R, supporting open source is not separate from AI strategy. It is part of it.

Read more:
https://r-consortium.org/posts/open-source-makes-ai-better/

#RStats #OpenSource #AI #DataScience

📢 The call for submissions for LatinR 2026 has been extended!

There’s still time to share your projects, experiences, and work with the R community in Latin America 💜

🗓️ New deadline: June 1
✍️ openreview.net/group?id=LATIN-R.com/2026/Conference
🔗 latinr.org
💬 Official languages: Spanish, Portuguese, English
📍Medellín, Colombia

#LatinR #rstats

The R Consortium R Submissions Working Group continues to help move regulatory submissions with R from concept to practical implementation.

In Pilot 4, the group explored WebAssembly and Docker containers for packaging and running an R Shiny app for regulatory review.

FDA feedback showed both approaches are technically feasible, highlighting practical needs around reproducibility, security, reviewer usability, and operational readiness.

Read more: https://r-consortium.org/posts/beyond-feasibility-learning-from-fdas-response-to-webassembly-and-container-based-submissions/

#rstats #pharma

R Consortium working groups are a practical on-ramp into the R community: open collaboration, technical contribution, and domain-specific work - often without needing to be from an R Consortium member company.

The nlmixr2 working group has a new post on an invited seminar with FDA quantitative clinical pharmacology reviewers, covering open source tools, regulatory review, reproducibility, model interchange, and reviewer-friendly workflows.

Read it:
https://blog.nlmixr2.org/blog/2026-04-29-fda/

#RStats #Pharma

Missed R/Medicine 2026? Watch the recording of “You Should Probably Map That: Introduction to Geospatial Analysis in R.”

This 1-hr demo, led by Anjile An, Weill Cornell Medical College, introduces practical geospatial analysis in R and shows how mapping can help reveal patterns, communicate results, and make health data more actionable.

https://youtu.be/eSZ9FB5Dqnk

#RStats #RMedicine2026 #Geospatial #HealthData

R/Medicine 2026 starts with 2 days of in-depth demos and workshops TOMORROW!

There's still time to register!

Full program here: https://rconsortium.github.io/RMedicine_website/Program.html

#rstats #clinicaltrials #healthdata #healthcare

This coming week! R/Consortium 2026! May 5-8, 100% virtual

Two days of in-depth, hands-on demos and workshops, then two days of Keynotes, Talks, Lightning Talks and plenty of time built in for your questions - Connect directly with speakers and peers

Don't miss it!

https://rconsortium.github.io/RMedicine_website/Program.html

#rstats #clinicaltrials #opensource #healthcare

Introduction to R for Clinical Data

"A gentle introduction to R and data science for healthcare professionals and clinical researchers"

Led by Richard Hanna, Data Science Supervisor with the Cell and Gene Therapy Informatics Team at the Children’s Hospital of Philadelphia

At R/Medicine 2026, May 5-8! Register today!

https://rconsortium.github.io/RMedicine_website/Program.html

#rstats #clinicaltrials

R/Medicine 2026 is next week! Register now!

Just one of the great lineup of workshops and demos:

"You Should Probably Map That: Introduction to Geospatial Analysis in R"

By Anjile An, Weill Cornell Medical College

https://rconsortium.github.io/RMedicine_website/Program.html

#rstats #opensource #clinicaltrials #geospatial

R/Medicine 2026 covers R being used across the full health data workflow - from clinical data entry and REDCap pipelines to reproducible reporting, large-scale analysis, and AI-assisted tools.

Register today! https://rconsortium.github.io/RMedicine_website/Program.html

#rstats #clinicaltrials #healthdata #datascience

R/Medicine 2026 is approaching, with keynotes on software sustainability, accountable algorithm design, and rigorous evaluation of generative AI.

Join keynote talks from Yanina Bellini Saibene, David Robinson, and Peter Gruber.

Register now: https://rconsortium.github.io/RMedicine_website/

#rstats #clinicaltrials #healthcare #opensource

@yabellini

R/Medicine Hackathon is tomorrow!

We will focus specifically on the {teal} package, from the Pharmaverse ecosystem, a framework for building interactive exploratory data analysis applications in clinical trials.

Beginners very welcome, registration for R/Medicine required.

Sign up, prep, and all the deets here: https://rconsortium.github.io/RMedicine_website/Hackathon.html

#rstats #opensource #clinicaldata #hackathon

🚀 The R Consortium Technical Grant Cycle is now open!

Have an idea to improve R’s technical infrastructure? Apply for funding!

We support projects with broad impact across the global R community—tools, infrastructure, and community initiatives.

📅 Apply by May 1
📅 Decisions by June 1

Get details + apply:
https://r-consortium.org/all-projects/callforproposals.html

#rstats #opensource #datascience #rconsortium #rcommunity

If you’ve thought about contributing to open source in R but didn’t know where to start, this is your entry point.

“Make your first R open source project contribution with git, forks, and PRs”
with Daniel Chen, Lecturer at Univ of British Columbia

Practical walkthrough using real workflows from the R ecosystem.

Part of the lead-up to R/Medicine 2026!

👉 Register here: https://r-consortium.org/webinars/make-your-first-r-open-source-project-contribution.html

#rstats #opensource #rprogramming #datascience

Contribute your knowledge and your voice!

The R/Medicine 2026 Call for Proposals closes tomorrow, March 13.

Submit your talk, lightning talk, demo, or workshop!

https://rconsortium.github.io/RMedicine_website/Submit.html

#rstats #opensource #publichealth #healthdata

Organizers of the R User Group of Nueva Vizcaya State University (RNVSU) recently spoke with the R Consortium about building a provincial, university-based R community in the Philippines.

Find out all the details!

https://r-consortium.org/posts/igniting-an-r-movement-in-the-philippines-rnvsus-open-science-vision/

#rstats #opensource #rprogramming

R/Medicine CFP is open 🩺🧪

Deadline: March 6 (still time!)

Submit: Talks • Lightning Talks • Demos • Workshops — share how you use R + Shiny for health, lab, and clinical data.

First-time speaker? Not sure about your abstract? Email for feedback: [email protected]

https://rconsortium.github.io/RMedicine_website/Submit.html

#rstats #healthcare #pharma #clinicaldata #datascience

The R Consortium Submissions Working Group is making “all-R” regulatory submissions more practical through real pilots and regulator feedback.

If you work in clinical trials / submissions / validation and want to help, get involved: https://r-consortium.org/posts/submissions-wg-2026

#rstats #clinicaltrials #regulatoryscience #pharma #opensource

Risk 2026 is coming up in two weeks! Full schedule available!

Register now!

R is used to calculate, measure, report, or mitigate risk. Find out the latest techniques, ask your questions directly to speakers, connect with other R users. Reproducibility, AI, Security, risk visuals...

https://rconsortium.github.io/Risk_website/

#rstats #risk #risk_management #dataScience

R and Security!

From the Risk 2026 talk “A Bayesian R Framework for Quantifying Cyber Risk Using the FAIR Model and MITRE ATT&CK”:

A fully open, R-based quantitative cyber-risk model combining FAIR + MITRE ATT&CK. Uses {cmdstanr}, Bayesian inference, and Monte Carlo to estimate ALE, incident frequency, and loss exceedance curves—transparent + reproducible.

Abstract: https://rconsortium.github.io/Risk_website/Abstracts.html#joshua-connors

Register for Risk 2026!

#RStats #CyberSecurity #BayesianStatistics #RiskManagement

Latest from the new R Consortium nlmixr2 Working Group:

nlmixr2—an R-based, open-source nonlinear mixed-effects modeling package that can compete with commercial pharmacometrics tools and support regulatory submissions—now supports inter-occasion variability (IOV).

Read the full details in their newest blog post:
https://r-consortium.org/posts/from-nlmixr2-working-group-nlmixr2-inter-occasion-variability

#rstats #submissions #pharma

Risk 2026 · Full schedule available!

R is used to calculate, measure, report, or mitigate risk. Find out the latest techniques, ask your questions directly to speakers, connect with other R users.

Reproducible validation, Agentic R workflows, Security, risk visuals (ggplot design), outbreak-time geospatial risk modelling, much more...

Check out the full schedule and register now! https://rconsortium.github.io/Risk_website/program.html

#rstats #rprogramming #risk

R Consortium-funded tooling for TDA in R: statistical inference for persistence diagrams

Persistence diagrams are great summaries of “shape in data” (persistent homology) — but many workflows stop at plotting. The {inphr} package goes further: statistical inference for samples of persistence diagrams, aimed at comparing populations of diagrams across data types.

Read: https://r-consortium.org/posts/statistical-inference-for-persistence-diagrams/

#rstats #TDA #TopologicalDataAnalysis #PersistentHomology #Statistics #DataScience #OpenSource

R Consortium webinar: Scale up data analysis in R with Arrow—fast, memory-efficient analytics without a DB or cluster.

With Dr Nic Crane (Arrow R maintainer, Apache Arrow PMC).

Register: https://r-consortium.org/webinars/scaling-up-data-analysis-in-r-with-arrow.html

#rstats #apachearrow

🚨 Risk 2026 abstracts are live — register now:

https://rconsortium.github.io/Risk_website

If you use R for risk - finance/insurance/health/climate/cyber - this is for you: 2 days, online, recorded talks + live Q&A.

Highlights: JD Long keynote; reproducible validation (Docker + Quarto + {renv}/{targets}); cyber risk (Bayesian + Monte Carlo, FAIR + MITRE); “risky viz” with ggplot; outbreak geospatial risk (MaxEnt); air-quality risk pipelines (Actions + Quarto + alerts).

#rstats #RiskAnalytics #Reproducibility

📣 R Consortium webinar: Scaling up data analysis in R with Arrow

If “scaling R” has meant databases/clusters or rewriting everything, this session is for you. Dr Nic Crane (Arrow R maintainer; Apache Arrow PMC) will walk through practical, memory-efficient ways to work with larger datasets in R—plus why Parquet is a workflow upgrade and where DuckDB fits.

Register:
https://r-consortium.org/webinars/scaling-up-data-analysis-in-r-with-arrow.html

#rstats #arrow #parquet #duckdb #opensource

Crops, code, and community 🌾💻🤝

R-Mob at Charles Sturt University (Australia) brings researchers + students together to apply #rstats to real agronomic and environmental problems through monthly hybrid meetups.

A standout section: “Digital Divide in Agriculture.” Many ag students still face a gap in data literacy + programming. This project uses R to pull insights from family farm records and experimental plot data

https://r-consortium.org/posts/crops-code-and-community-build-r-mob-user-group-in-australia

#AgTech #DigitalAgriculture #DataScience #OpenSource

Cape Town R User Group: applied infectious disease modeling and DTPBoost to support DTP booster decisions

They also discuss DTPBoost, an R-based tool developed with partners including CDC and AFENET to support DTP booster vaccination strategy decisions

https://r-consortium.org/posts/applied-epidemiology-in-r-cape-town-r-user-groups-contribution-to-global-immunization/

#rstats #opensource #immunization

Gergely Daróczi on reviving Budapest Users of R Network (BURN) + using R with Strava data for daily insights—his personal diabetes story.

https://r-consortium.org/posts/reviving-budapest-users-of-r-network-and-reversing-diabetes-how-gergely-daroczi-brings-data-to-life-with-r/

#rstats #opensource #strava #rprogramming

R Consortium applauds the R Foundation & R Core on a major new investment in R’s future!

Nearly $650K (£499,981.21) over 24 months for “Enabling the Next Generation of Contributors to R,” modernizing infrastructure & governance, mentoring new contributors, and strengthening communication.

Partners include Posit, Google, A2-Ai and the R Consortium

https://www.software.ac.uk/rsmf-round-1-projects

#rstats #openSource #rprogramming

A milestone! FDA expands accepted R file formats, resulting directly from joint work between industry and FDA through the R Consortium Submissions Working Group.

FDA expands accepted eCTD file formats for R packages

Newly accepted formats for R packages now include:
.rds, .rdb, .rdx, .rdata / .rda
.md, .rd
Expanded use of .zip and .html for delivering full R packages.

Details: https://r-consortium.org/posts/expanded-fda-ectd-file-format-support-for-r-packages

#rpharma #fda #regulatory #clinicaltrials #biostats #opensource

How do you connect pharma professionals, master’s students, and R users in one local community?

Find out how Ronak Shah and the Pune R User Group are doing exactly that with campus-based and hybrid meetups supporting India’s fast-growing pharma + R ecosystem.

New R Consortium interview: https://r-consortium.org/posts/connecting-pharma-students-and-r-ronak-shah-on-strengthening-pune-r-ecosystem/

#rstats #opensource #pharma #datascience #rcommunity #Pune #India

Jarl is an R Consortium–funded project: a blazing-fast linter for R that can scan large codebases, flag issues, and even auto-fix many of them in one go.

Built on `{lintr}` and the Air formatter (Rust), Jarl ships as a single binary—perfect for CI, pre-commit hooks, and editor integration (VS Code, Positron, Zed).

Learn more and try it: https://r-consortium.org/posts/jarl-just-another-r-linter

#rstats #RConsortium #opensource

Webinar: Making Health Economic Models Shiny — Excel → R & Shiny

Tue Nov 18 · 8am PT / 11am ET / 4pm GMT

Practical migration tips for HTA teams: pitfalls, workflows, reproducibility.

Speakers: Dr Robert Smith, Dr Wael Mohammed (Dark Peak Analytics)

Register: https://r-consortium.org/webinars/making-health-economic-models-shiny.html

#rstats #Shiny #HTA #healthcare

This is cool!

R-Ladies Buenos Aires + R en Buenos Aires ran a community reading club on Hadley Wickham’s book Mastering Shiny (he’s on the R Consortium board).

Peer-led sessions turned solo intent into shared progress.

Details: https://r-consortium.org/posts/learning-shiny-together-a-collaborative-reading-club-around-mastering-shiny-in-buenos-aires/

#rstats #Shiny #RCommunity @RLadiesGlobal

From R Consortium member Esri!

R Consortium technical grants period still open, apply now!

https://www.esri.com/arcgis-blog/products/developers/developers/r-consortium-grants-2025-p2

@josi #rstats #rcommunity

Get funding for your R project! 🚀 R Consortium tech grants support open-source tools + community initiatives.

⏰ 2 weeks left to apply: https://r-consortium.org/all-projects/callforproposals.html

Past grantee: “Straightforward, smooth, and helpful. Highly recommended.” – Andreas Neudecker

#rstats #opensource #rprogramming

📢 Aug 28, 10 AM PT / 1 PM ET – R Consortium webinar: Unlocking Collaborative Power with Git, GitHub CI/CD & LLMs in Pharma

Learn how pharma teams use GitHub Actions for automated QC, cut errors, and speed workflows—plus an LLM preview for QC edge cases.

Speakers: Ning Leng (Roche), Eli Miller (Atorus Research), and Ben Straub (GSK)

🔗 https://r-consortium.org/webinars/unlocking-collaborative-power-with-git-github-ci-cd-and-llms-in-pharma.html

#rstats #opensource #clinicaltrials #pharma #DevOps #LLM #GitHub #CI_CD

SAS ➡️ R in Pharma Webinar

🗓️ Sept 9 • 09:00 PT / 12:00 ET

Speaker: Gabriel Brock (ProCogia)

Discover how a regulated pharma pipeline built on a proprietary SAS function was rebuilt in open-source R—and why a rigorous evaluation is a must for compliance.

🔗 Register → https://r-consortium.org/webinars/sas-to-r-in-pharma-creating-custom-solutions-for-closed-source-code.html

#rstats #opensource #pharma #biostatistics #SAS #R #datascience #webinar #Fediverse

How do you grow a technical and inclusive R community?

Julia Silge (@juliasilge) shares how the SLC R User Group built a welcoming space for data scientists of all backgrounds. Great ideas here for anyone growing a local #rstats meetup!

🔗 https://r-consortium.org/posts/julia-silge-on-fostering-a-technical-inclusive-r-community-in-salt-lake-city/

#opensource #rstats #datascience #community #inclusion #meetups #RConsortium

TODAY! Water quality monitoring using R, Posit and Esri - modernizing data collection methods

From Virginia Dept of Environmental Quality (DEQ)

Webinar - June 27, 1pm ET

https://r-consortium.org/webinars/from-paper-to-pixels-digitizing-water-quality-data-collection-with-posit-and-esri-integration.html

#EnvironmentalMonitoring #RStats #WaterData #GIScience #Esri

@posit_pbc

TOMORROW! June 27, 1pm ET

Integrating R, Posit and Esri to modernize data collection methods for water quality monitoring

From Virginia Dept of Environmental Quality (DEQ) - https://r-consortium.org/webinars/from-paper-to-pixels-digitizing-water-quality-data-collection-with-posit-and-esri-integration.html

#EnvironmentalMonitoring #RStats #WaterData #GIScience

Digitizing Water Quality Data Collection with Posit and Esri Integration

Webinar - This Friday! June 27, 1pm ET

The VA Dept of Environmental Quality (DEQ) will cover their integration of Posit and Esri to modernize data collection methods for water quality monitoring.

Sign up now!

https://r-consortium.org/webinars/from-paper-to-pixels-digitizing-water-quality-data-collection-with-posit-and-esri-integration.html

#EnvironmentalMonitoring #RStats #WaterData #GIScience #Esri #posit #Rstudio

Tidy topological machine learning with TDAvec and tdarec by Jason Cory Brunson, Alexsei Luchinsky, Umar Islambekov

Topological data analysis (TDA) is increasingly integrated into machine learning. Introducing two R packages—TDAvec and tdarec—to bridge TDA with the Tidymodels ecosystem, offering efficient persistent homology vectorization and tidy ML pipelines.

Bug reports, feature requests, and code contributions welcome!

https://r-consortium.org/posts/tidy-topological-machine-learning-with-tdavec-and-tdarec/

#rstats #rprogramming #topological

🌟 Join Us in Advancing The Pharma Industry! 🌟

The R Consortium and R Validation Hub are excited to announce the launch of our fundraising campaign for the Regulatory R Repository! This initiative aims to support the pharmaceutical industry's transition to using the R statistical programming language for clinical research and drug submissions.

https://www.pharmar.org/repository/

Let's make a difference together! 💪📊

#Pharma #ClinicalResearch #RLanguage #OpenSource #RegulatoryCompliance #DataScience

New Generations Working to Strengthen the Community

R en Buenos Aires User Group organizer Andrea Gomez Vargas is connecting with new generations, exploring new tools and opportunities, and so much more!

Exceptional!

https://r-consortium.org/posts/r-en-buenos-aires-new-generations-working-to-strengthen-the-community/

#rstats #opensource #RLanguage

THIS WEEK! R in Finance webinar

Using R and R Shiny for effective data visualization and risk assessment

Real world demo and presentation showing Raiffeisenlandesbank Oberösterreich’s advanced risk management practices

https://r-consortium.org/webinars/quantification-of-participation-risk-using-r-and-rshiny.html

#rshiny #rstats #rfinance

Next week! R in Finance webinar - Delve into Raiffeisenlandesbank Oberösterreich’s advanced risk management practices, highlighting how they leverage R and RShiny for effective data visualization and risk assessment

https://r-consortium.org/webinars/quantification-of-participation-risk-using-r-and-rshiny.html

#rshiny #rstats #rfinance