iiinova — where your digital self keeps evolving

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Pieter T. L. Beck @ptrbck.bsky.social · 25/08/2026

We have written a statement in support of Ghent Uni's decision to suspend Nathan Cofnas. We resist attempts to frame this as a punishment for "whistleblowing" or censorship of "controversial research". We invite all academics who share our views to sign our letter. forms.gle/qwN8xzEM5C7Q...

forms.gle

Open letter on the suspension of Nathan Cofnas at Ghent University

We, colleagues of Nathan Cofnas - supported by many colleagues internationally - want to respond to the negative and incorrect framing of Ghent University’s decision to suspend Nathan Cofnas. With th...

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MC Stan @mc-stan.org · 18/08/2026

There is now StanCon 2026 Uppsala playlist www.youtube.com/playlist?lis... At the moment talks by @mjskay.com, @aseyboldt.bsky.social, @paulbuerkner.com, @charlesm993.bsky.social are up, and we'll keep uploading more during the week

youtube.com

StanCon 2026 Uppsala - YouTube

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Cédric Vidonne @cvidonne.bsky.social · 07/08/2026

Reaching UNHCR used to mean long journeys and repeated visits. For 300,000 refugees across 7 countries, that's changing. The latest Data Spotlight looks at UNHCR's Digital Gateway. dataviz.unhcr.org/product-gallery/2… #Dataviz #Refugees

dataviz.unhcr.org

Digital Gateway: Connecting People to Services

How the Digital Gateway is expanding access to UNHCR services

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Cory McCartan @corymccartan.com · 03/08/2026

New WP w/@melodyyhuang.bsky.social studying the success of BART models, which regularly win causal inference competitions! We argue that BART should be thought of as a random features approximation to a limiting GP. This view helps understand BART & apply it in more places arxiv.org/abs/2607.28844

Seeing the Forest for the Trees: The Gaussian Process Limit of BART

Cory McCartan & Melody Huang

Abstract:
Bayesian Additive Regression Trees (BART) have shown state-of-the-art performance in both prediction and causal inference problems. Previous theoretical work has attempted to explain BART’s superior performance by establishing posterior contraction rates for standard BART models, but these rates depend strongly on the number of covariates. Here, we take a different approach and study the behavior of BART as the number of trees grows towards infinity. We show that in this regime, BART converges to a Gaussian process (GP) with a particular kernel. The kernel and its corresponding reproducing kernel Hilbert space (RKHS) have favorable inferential properties that help explain BART’s excellent performance. We introduce random tree features as an approximation to this limiting GP, and establish minimax-optimal learning rates for ridge
regression on these random features that depend only logarithmically on dimension. In addition to providing insight into the empirical success of BART, random tree features offer a computational benefit over traditional MCMC estimation. The random-features approximation also allows
practitioners to easily incorporate BART into any model which has a linear predictor, expanding the applicability and flexibility of BART.

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Jeroen Ooms @jeroenooms.bsky.social · 02/08/2026

R-universe now provides binaries and check results for Windows-ARM64 of all CRAN and BIOC packages: contributor.r-project.org/windows-arm64/

contributor.r-project.org

R on ARM64 Windows

R on Windows ARM64

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Thomas Lumley @tslumley.bsky.social · 30/07/2026

Watch @nrennie.bsky.social's Ihaka Lecture about data viz and creativity on YouTube if you missed the live/streamed version tonight youtube.com/live/fAiyiE8...

youtube.com

Ihaka Lecture Series 2026 #2 - When Creativity Meets Code

YouTube video by University of Auckland | Waipapa Taumata Rau

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Dr Di Cook @visnut.bsky.social · 29/07/2026

Recently graduated with your doctorate in statistics, econometrics, or a related discipline? Interested in being in an environment supportive of open source software? Then this position (careers.pageuppeople.com/513/cw/en/jo...) might be for you, and we want you! #rstats 🐨🦘

careers.pageuppeople.com

Job Search

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Julia M. Rohrer @dingdingpeng.the100.ci · 20/07/2026

New paper out now 🥳 When psychologists discuss generalisability, they often refer to vague notions of representativeness. We provide an accessible intro to the total survey error framework as a tool to reason about this more rigorously. w @taymalsalti.bsky.social @ruben.the100.ci >

Thinking Clearly About Sampling and Representation With the Total Survey Error Framework

Collecting a sample that represents the population of interest well constitutes a challenge across the social and behavioural sciences. Psychology in particular frequently relies on convenience samples—most notably students and, increasingly, online participants—with a tendency to either (implicitly) assume representativeness without substantive justification, or to acknowledge a lack of it only in passing. In contrast, researchers rarely engage with the actual implications for their inferences, which undermines the generalisability of psychological findings. Critically, representativeness must be defined with respect to variables relevant to the target of inference, rather than superficial demographic diversity. Here we present the Total Survey Error (TSE) framework as a methodological tool that systematically addresses the multifaceted sources of error—particularly those related to representation—that emerge throughout the research cycle. Although TSE originated in survey research, its principles are broadly applicable to any psychological study seeking inference from sample to population. We offer practical strategies for identifying, preventing, and mitigating representation errors to improve the credibility and generalisability of psychological research.

Illustration of the total survey error framework with the representation strand highlighted. It shows how coverage error, sampling error and non-response error arise during the sampling process.

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Cédric Vidonne @cvidonne.bsky.social · 07/07/2026

Who gets counted? Our new Data Spotlight looks at 25 years of data on refugee children, and asks what happens when millions are invisible in the data. dataviz.unhcr.org/product-gall... #DataViz #Refugees

dataviz.unhcr.org

Who gets counted

Twenty-five years of data on refugee children

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Moritz Marbach @moritz-marbach.com · 15/04/2026

🚨New Paper in PNAS: "Refugee Labor Market Integration at Scale: Evidence from Germany’s Fast-Track Employment Program" www.pnas.org/doi/10.1073/... Ungated preprint osf.io/preprints/socarxiv/px9ew_v3 w/ J Hainmueller, D Hangartner, @niklas-harder.bsky.social & E Vallizadeh #econtwitter #econsky

pnas.org

Refugee labor market integration at scale: Evidence from Germany’s fast-track employment program | PNAS

Governments face persistent challenges in integrating refugees into the local labor market, and many past interventions have shown limited impact. ...

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Libby Heeren @libbyheeren.bsky.social · 31/03/2026

BASE R GIRLIES OUR TIME HAS COME Come hang with us, ask Ella questions (I know Isabella and I will), and learn something new. Don't think you use base R? You use it pretty much each and every time you use R! #baseRgirly Also, we're a delight ✨

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Reposted by Ahmadou Dicko

Heather Turner :rstats: @heathrturnr.fosstodon.org.ap.brid.gy · 15/03/2026

Hello 👋🏻 I'm a Principal Research Software Engineer in Advanced Research Computing at the University of Birmingham, UK. I lead the international project “Enabling the next generation of contributors to R” and manage research software development projects at UoB. * R Core member * Chair of R […]

fosstodon.org

Original post on fosstodon.org

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The R Foundation @r-foundation.bsky.social · 12/03/2026

We are pleased to announce that Heather Turner @heathrturnr.fosstodon.org.ap.brid.gy has joined the R Core Team. She has been an active contributor notably via the R Dev Days, and has greatly improved cooperation between R Core and the R community in more ways #RStats.

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Kevin Patrick O'Brien @kobriendublin.bsky.social · 09/03/2026

📢 CFP Deadline Extended: useR! 2026 Warsaw! 📅 New Deadline: Saturday, 14th March 2026 🚀 Submit projects on #rstats, ML, or data viz for the global #Rstats community stage in Poland. Standard/Lightning Talks, Posters, Tutorials & Panels wanted! CFP Link: user2026.r-project.org/call/

$A promotional graphic for the useR! 2026 Conference in Warsaw. The image is split into a left-hand artistic section and a right-hand text section against a black background. The left side features a 2x2 grid of colored squares: Top-left: A black square centered on a light blue background. Top-right: A black fractal-like square pattern on a yellow background. Bottom-left: A complex black grid pattern on an orange background. Bottom-right: A dense black dot and square pattern on a purple background. The right side contains the following text: USER! 2026 CONFERENCE WARSAW in white. A list of submission categories in bold colors: Talks (blue), Tutorials (yellow), Posters (red), Lightning Talks (orange), and Panel Discussions (teal). At the bottom-left, white text announces: "CFP Deadline Extension: Saturday 14th March 2026".$

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Jakub Nowosad @jakubnowosad.com · 26/02/2026

Have you used the CAST R package? We’re running a short survey on use cases, challenges, and feature needs. Your input will guide CAST priorities during developer days in Mar 2026. 🔗 uni-muenster.sciebo.de/apps/forms/2... #RStats #RSpatial #OpenSource

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Ahmadou Dicko @ahmadoudicko.com · 26/02/2026

Really excited about this new release of {survey}. I can't wait to test the multiphase support (vs twophase only in older versions). #rstats

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Ahmadou Dicko @ahmadoudicko.com · 18/02/2026

I love R for everything statistics, but I've always been a little jealous of statisticians using SPSS Complex Samples or SAS SURVEYSELECT to design their samples. So I decided to build samplyr, a tidy and pipe-friendly grammar for survey sampling design in #rstats. dickoa.gitlab.io/samplyr/inde...

github.com

GitHub - dickoa/samplyr: A Tidy Grammar for Survey Sampling

A Tidy Grammar for Survey Sampling. Contribute to dickoa/samplyr development by creating an account on GitHub.

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Solomon Kurz @solomonkurz.bsky.social · 30/01/2026

#rstats bat signal: If any of y'all have experience with multilevel multinomial logistic regression, with {brms}, Kruschke and I could use your help. This is your chance to influence the upcomming textbook. discourse.mc-stan.org/t/problem-in...

discourse.mc-stan.org

Problem in multilevel (hierarchical) multinomial logistic regression (with brms)

I have posted a teaser of the issue at my blog, copied below. The data The predicted variable is a categorical response, named resp with levels ‘1’, ‘2’, ‘3’, and ‘4’ (nominal labels, not numerical...

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Reposted by Ahmadou Dicko

Cédric Vidonne @cvidonne.bsky.social · 10/09/2025

Inspired by @nrennie.bsky.social excellent #TidyTuesday plot on the power of passports, I adapted the idea to look at refugee origins. This chart ranks countries of origin of refugees, asylum-seekers, and others in need of international protection, grouped by region. #RStats #ggplot2 #Refugees

Bump chart faceted by world regions showing the top countries of origin of refugees, asylum-seekers, and others in need of international protection. Asia and Africa rank consistently high, driven by long-term crises such as Afghanistan and Sudan. The Americas and Europe also appear high due to more recent crises in Venezuela and Ukraine.

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Ella Kaye @ellakaye.co.uk · 23/06/2025

So excited for this! As well as ‘C for R users’ I’ll be talking about contributing to base R more generally, and doing a live demo of the R Dev Container. #RStats

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Cédric Vidonne @cvidonne.bsky.social · 18/06/2025

Just published: our new data story on efforts to protect South Sudan’s most vulnerable — including children, women, and persons with disabilities. Explore how protection monitoring and partnerships are making a difference: dataviz.unhcr.org/product-gall... #refugees #unhcr #protection

dataviz.unhcr.org

Protecting the most vulnerable in South Sudan

Assessing a Complex Crisis through Protection Risks Analysis

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R for the Rest of Us @rfortherestofus.com · 14/04/2025

Maps aren't just eye candy—they uncover patterns unseen in other data viz. Our upcoming Mapping with R course offers practical insights into static, interactive & complex maps, all using R. Coming soon! 🧭 Follow us or sign up for updates to stay informed. buff.ly/B0dtY66 #rstats

buff.ly

Welcome to Mapping with R

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Richard D. Morey @richarddmorey.bsky.social · 13/03/2025

If one wanted to hire a professional #rstats #rshiny developer to work work with qualitative/text data in particular (so many involve a dashboard for search/semantic/sentiment analyses), do you have any recommendations of individuals or companies? (please repost)

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Thomas Lumley @tslumley.bsky.social · 04/03/2025

I wrote a thing about coupling streams of random numbers: "the same" number with different parameters notstatschat.rbind.io/2025/03/04/c...

notstatschat.rbind.io

Coupling simulations and the "reparametrisation trick" - Biased and Inefficient

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Achim Zeileis @zeileis.org · 24/02/2025

🚨 The "penguins" data is coming to the base #rstats{datasets} in 4.5.0! @ellakaye.co.uk & @HeathrTurnr.fosstodon.org.ap.brid.gy r prepared an adapted and a raw version of the data set based on the {palmerpenguins} 📦 by @allisonhorst.bsky.social @apreshill.com and Kristen Gorman. 📈 Scatter plot:

Scatter plot of bill depth vs. length by species (color) and sex (symbol). It shows positive correlations for all species with males tending to have bigger bills than females.

sym <- c(1, 16)
pal <- c("darkorange","purple","cyan4")
plot(bill_dep ~ bill_len, data = penguins, pch = sym[sex], col = pal[species])

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Bruno Rodrigues @brodriguesco.bsky.social · 15/02/2025

- Handles remote packages with remote deps much better! - IDEs are now handled more consistently and are better documented (there's a new vignette "Using an IDE with Nix shells) - Many bugfixes and overall improvements! Quick 5 minute video to know what's this about youtube.com/watch?v=OOu6...

youtube.com

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Ahmadou Dicko @ahmadoudicko.com · 15/02/2025

Thanks for all your work on bringing Nix to the #rstats world for reproducibility. I'll give it a try for my next analysis!

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Prof Dynarski @dynarski.bsky.social · 14/02/2025

FANTASTIC ICPSR at U Mich is coordinating the archiving of at-risk federal data (all of it?) You can upload data you have & search for data you don’t have www.datalumos.org/datalumos/

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Karandeep(Singh) @kdpsingh.bsky.social · 11/01/2025

Tidier.jl 1.5.0 for #JuliaLang is officially released. What is it: tidierorg.github.io/Tidier.jl/dev/ What’s new: discourse.julialang.org/t/ann-belate...

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Aki Vehtari @avehtari.bsky.social · 06/02/2025

If you know simulation based calibration checking (SBC), you will enjoy our new paper "Posterior SBC: Simulation-Based Calibration Checking Conditional on Data" with Teemu Säilynoja, @marvinschmitt.com and @paulbuerkner.com arxiv.org/abs/2502.03279 1/7

Title: Posterior SBC: Simulation-Based Calibration Checking Conditional on Data

Authors: Teemu Säilynoja, Marvin Schmitt, Paul Bürkner, Aki Vehtari

Abstract: Simulation-based calibration checking (SBC) refers to the validation of an inference algorithm and model implementation through repeated inference on data simulated from a generative model. In the original and commonly used approach, the generative model uses parameters drawn from the prior, and thus the approach is testing whether the inference works for simulated data generated with parameter values plausible under that prior. This approach is natural and desirable when we want to test whether the inference works for a wide range of datasets we might observe. However, after observing data, we are interested in answering whether the inference works conditional on that particular data. In this paper, we propose posterior SBC and demonstrate how it can be used to validate the inference conditionally on observed data. We illustrate the utility of posterior SBC in three case studies: (1) A simple multilevel model; (2) a model that is governed by differential equations; and (3) a joint integrative neuroscience model which is approximated via amortized Bayesian inference with neural networks.

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Hannah Frick @frick.ws · 31/01/2025

The tidymodels team is hiring an intern to work on preprocessing and feature selection! Please get in touch by Feb 15 and/or share with #RStats folks who might be interested. The blog post links out to posts by previous interns and the job posting, of course. www.tidyverse.org/blog/2025/01...

tidyverse.org

tidymodels Internship for 2025 - Tidyverse

The tidymodels team is sponsoring a summer internship in 2025.

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Isabella Velásquez @ivelasq3.bsky.social · 28/01/2025

Join @statsteph.bsky.social, RJP, & me on Feb 25 11am CT for a session on Analyzing Complex Survey Data in #RStats! Learn how to use srvyr and tidyverse for weighted survey analysis. Thanks to @rladiesamsterdam.bsky.social & R-Ladies RTP for hosting! ⚖️ Sign up here: www.meetup.com/rladies-amst...

Tidy Data, Weighted Insights, Analyzing Complex Survey Data in R. The book cover of Exploring Complex Survey Data Analysis Using R.

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R Contributors @r-contributors.hachyderm.io.ap.brid.gy · 27/01/2025

Join us at the R Dev Day @ Rencontres R 2025! 🏢 University of Mons, Belgium 📅 Thu 22 May, 09:00 - 17:00 CEST We'll collaborate on contributions to the code, documentation & translations of base R, or infrastructure that supports such contribution. Free and […] [Original post on hachyderm.io]

Participants at an R Dev Day sat at desks in classroom layout. The closest group has turned to smile at the camera, while others further away are glued to their laptop. A mix of ages, genders and nationalities are represented.

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Sharon Machlis @smachlis.bsky.social · 20/01/2025

UNHCR published its ggplot2 theme and color palettes in their {unhcrthemes} #RStats 📦 unhcr-dataviz.github.io/unhcrthemes/ By @cvidonne.bsky.social & @ahmadoudicko.com

Image shows samples for 11 different color palettes

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Jason Rasgon @vectorgen.bsky.social · 17/01/2025

Come be my colleague! Public Health Entomology faculty position at Penn State (Assistant/Associate). 70% research, 30% extension. (I am not on the search committee but happy to answer any questions that I can) psu.wd1.myworkdayjobs.com/en-US/PSU_Ac...

psu.wd1.myworkdayjobs.com

Assistant/Associate Professor of Public Health Entomology

APPLICATION INSTRUCTIONS: CURRENT PENN STATE EMPLOYEE (faculty, staff, technical service, or student), please login to Workday to complete the internal application process. Please do not apply here, a...

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Cédric Vidonne @cvidonne.bsky.social · 17/01/2025

🚀 {unhcrdown} is now on CRAN! 🎉 This R package adds UNHCR-branded R Markdown templates for reports, presentations, and websites. It’s tailored for UNHCR but shows how R packages can support consistent branding across organizations. 🔗 cran.r-project.org/web/packages...

cran.r-project.org

unhcrdown: UNHCR Branded Templates for R Markdown Documents

Create United Nations High Commissioner for Refugees (UNHCR) branded documents, presentations, and reports using R Markdown templates. This package provides customized formats that align with UNHCR's ...

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Cédric Vidonne @cvidonne.bsky.social · 17/01/2025

For branded charts, check out {unhcrthemes}, shared yesterday! Together with {unhcrdown}, it forms a complete ecosystem for UNHCR data viz and reporting. 🔗 cran.r-project.org/web/packages... #rstats #rmarkdown #dataviz

cran.r-project.org

unhcrthemes: UNHCR 'ggplot2' Theme and Colour Palettes

A 'ggplot2' theme and color palettes following the United Nations High Commissioner for Refugees (UNHCR) Data Visualization Guidelines recommendations.

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Reposted by Ahmadou Dicko

Charles Driver @charlesdriver.bsky.social · 15/01/2025

Looking for a longitudinal (ideally intensive) dataset where missing data is expected to be problematic, i.e. MNAR, anyone have pointers to good examples?

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Ella Kaye @ellakaye.co.uk · 13/01/2025

If you’re an existing/aspiring R contributor and want to gain/refresh basic skills in C programming, please do join our C Study Group! contributor.r-project.org/events/c-stu... If interested, please fill in the poll by Jan 20th to help us find the best time for the sessions: whenisgood.net/jqfrg3j

whenisgood.net

WhenIsGood: C Study Group for R Contributors 2025

Plan the time to have your meeting or event by coordinating availability with all the participants using this fuss-free online tool.

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Mark Rieke @markjrieke.bsky.social · 13/01/2025

reaching out to the #rstats / #databs hivemind --- I'm looking for a maintainer! nplyr is a small R package I shipped to CRAN a few years ago that allows users to perform dplyr-like operations on nested data frames. If you'd like to take over, please follow up here: github.com/markjrieke/n...

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Karandeep(Singh) @kdpsingh.bsky.social · 30/12/2024

Why is #JuliaLang a great home for a flavor of the tidyverse? What does Tidier.jl do? Will you get sent to Julia jail for using an ecosystem inspired by #rstats? In this convo with @chrisrackauckas.bsky.social and Michael Tiemann, I don’t have answers, but I have thoughts! youtu.be/oLnAiCqYjzw?...

youtu.be

Tidier.jl with Karandeep Singh

YouTube video by Julia Dispatch

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Jarrett Byrnes @jebyrnes.bsky.social · 21/12/2024

OK, here is a very rough draft of a tutorial for #Bayesian #SEM using #brms for #rstats. It needs work, polish, has a lot of questions in it, and I need to add a references section. But, I think a lot of folk will find this useful, so.... jebyrnes.github.io/bayesian_sem... (use issues for comments!)

jebyrnes.github.io

Full Luxury Bayesian Structural Equation Modeling with brms

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Hadley Wickham @hadley.nz · 19/12/2024

Very proud to announce that @posit.co has joined the opensourcepledge.com. We're committing to spending $2000 / developer / year to support open source software that we use (but don't develop): posit.co/blog/posit-p... #rstats #pydata

opensourcepledge.com

Open Source Pledge

Our companies feast year after year at the Open Source table. It's time to settle up.

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Ella Kaye @ellakaye.co.uk · 18/12/2024

Really excited to be taking the lead on this next year. If you’re an existing/aspiring R contributor and want to gain/refresh basic skills in C programming, please do join! If interested, please fill in the poll to help us find the best time for the sessions: whenisgood.net/jqfrg3j

whenisgood.net

WhenIsGood: C Study Group for R Contributors 2025

Plan the time to have your meeting or event by coordinating availability with all the participants using this fuss-free online tool.

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Ahmadou Dicko @ahmadoudicko.com · 29/11/2024

Don't miss this episode of the @rfortherestofus.com podcast with our very own @cvidonne.bsky.social. He's sharing some of the cool stuff he's doing building reproducible humanitarian data products with #rstats #quarto and other open source tools. www.youtube.com/watch?v=Ypf9...

youtube.com

How the United Nations Human Rights Commission Uses Data Viz to Increase the Impact of its Work

YouTube video by R for the Rest of Us

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Cédric Vidonne @cvidonne.bsky.social · 24/11/2024

🌍 #30DayMapChallenge Day 24: Only circular shapes Inspired by @bjnnowak.bsky.social work, today's map visualizes displacement across Africa in 2024. Each bubble is split to contrast those displaced within a country with those who have sought refuge there. Code: shorturl.at/TZMkZ #maps #rstats

A bubble map of African countries displaying displacement data for 2024. Each bubble is split into two halves: one representing internally displaced people (IDPs) and the other representing refugees hosted within the country. Bubble sizes vary by the total displacement numbers, illustrating the relative scale of each country's displacement challenges. Yellow indicates IDPs (on the left side of each bubble), and blue represents refugees (on the right).

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