Emi Tanaka

Do you have thoughts about data skills for the 🇦🇺 #grains industry? 🌾 Complete the survey so we know! It will inform the National Industry Training Program within the Analytics for the Australian Grains Industry ✅ 📥 adelaideuniwide.qualtrics.com/jfe/form/SV_... @asps-oz.bsky.social

Emi Tanaka reposted

Charlie Gao

@shikokuchuo.net

本日の #TokyoR で、mizu のワールドプレミアをお届けしました！主役はミズちゃん💧 mizu は、ロックフリーな共有メモリで、同じマシン上のRプロセス同士をつなぐパッケージです。同じCコアのPython版 pymizu もあるので、RとPythonでチャネルを共有できます。プレリリースなのでAPIは変わるかもしれません。ぜひ試して、感想はGitHubへ！ github.com/shikokuchuo/...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

I’m pleased to announce that Vol 18 Issue 3 of The R Journal is out now! 🥳 Free & open access, R journal is made possible by our volunteer editors, reviewers + contributing authors. Thank you all! journal.r-project.org/issues/2026-3/ 🧵 20 articles 👇 #rstats journal.r-project.org/issues/2026-3/

journal.r-project.orgThe R Journal: xplainfi: Feature Importance and Statistical Inference for Machine Learning in RWe introduce xplainfi, an R package built on top of the mlr3 ecosystem for global, loss-based feature importance methods for machine learning models. Various feature importance methods exist in R, but...

Feature importance with uncertainty: xplainfi brings global importance methods and statistical inference to mlr3. By Lukas Burk, @fionaewald.bsky.social , @giuseppe88.bsky.social , Marvin N. Wright & Bernd Bischl, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: metafrontier: Unified Metafrontier Analysis for Efficiency and Productivity in RComparing the technical efficiency of groups of firms that face different restrictions of a common production technology requires a metafrontier framework that envelops the group-specific frontiers. E...

Compare efficiency across groups with different production constraints. metafrontier by Erik Enstad unifies stochastic-frontier and data-envelopment approaches, with productivity analysis and inference. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: DRIP: An R Package for Jump Regression and Image AnalysisJump regression performs nonparametric regression analysis where the regression function can be discontinuous. Because of its ability to conduct jump detection and jump-preserving estimation, jump reg...

Denoise images while preserving edges! DRIP by Yicheng Kang brings jump regression to R, with methods for detecting discontinuities, reconstructing surfaces and deblurring images. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: demofit: A Unified Framework for Mortality Modelling Integrating Parametric Laws and Stochastic ModelsMortality modelling and forecasting are widely used in actuarial science and demography, with numerous parametric mortality laws and stochastic mortality models proposed to describe age-specific patte...

Model and forecast mortality in a unified R workflow. demofit by Jackie Li combines parametric mortality laws with stochastic forecasting models, helping produce smooth age profiles. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgjournal.r-project.org

Put time series on the map! sugarglider adds ribbon and segment glyphs to reveal seasonal patterns and data ranges across locations. By Maliny Po, S. Nathan Yang, H. @huizezhangsherry.bsky.social & @visnut.bsky.social , in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgjournal.r-project.org

Do two gene lists convey equivalent biological information? goSorensen combines Gene Ontology enrichment, equivalence testing and visualisation. By Pablo Flores and colleagues, in The R Journal. #Bioconductor #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: LBBNN: An R Package for Sparse and Explainable Bayesian Deep Learning with Latent Binary Bayesian Neural NetworksThe package LBBNN (latent binary Bayesian neural networks) provides a framework for doing sparse uncertainty aware and to a large degree interpretable Bayesian inference in neural network models, with...

Sparse Bayesian neural networks in R: LBBNN combines uncertainty quantification, explanations and GPU-capable variational inference via torch. By Lars Skaaret-Lund, Eirik Høyheim & Aliaksandr Hubin, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: SelectionBias: An R Package for Bounding Selection Bias in Causal EstimandsSelection bias may arise when there are dropouts or missing data in the analysis, or when subjects are included or excluded in the analysis based upon some selection criteria for the study populatio...

How sensitive are causal conclusions to selection bias? SelectionBias by Stina Zetterstrom & Ingeborg Waernbaum computes bounds for causal risk ratios and risk differences. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: R Package dbrobust: Robust Distance-Based Visualization and Analysis of Mixed-Type DataIn many applied fields, such as socioeconomic research, quality of life analysis or gender inequality studies, datasets often contain a mixture of quantitative, binary and categorical variables. Tradi...

Numeric, binary and categorical variables in one dataset? dbrobust offers robust distance measures and visualisations for mixed-type data. By Eva Boj, Aurea Grané & Marcos Álvarez, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: ldmppr: Location Dependent Marked Point Processes in RIn this article, we present ldmppr, an R package for estimating, evaluating, simulating from, and visualizing location-dependent marked spatial point processes. To date, it has commonly been assumed t...

What if a spatial point's marks depend on its location? ldmppr by Lane Drew & Andee Kaplan provides estimation, simulation, evaluation and visualisation for location-dependent marked point processes. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: MSTest: An R Package for Testing Markov Switching ModelsWe present the R package MSTest, which implements hypothesis testing procedures to determine the number of regimes in Markov switching models. These models have wide-ranging applications in economics,...

How many regimes does your time series need? MSTest by Gabriel Rodriguez-Rondon & Jean-Marie Dufour provides tests for Markov switching models, alongside estimation and simulation tools. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: rSRD: An R Package for the Sum of Ranking Differences Statistical ProcedureSum of Ranking Differences (SRD) is a relatively novel, non-parametric statistical procedure that has become increasingly popular recently. SRD compares solutions via a reference by applying a rank tr...

Comparing rankings against a reference? rSRD simplifies Sum of Ranking Differences analysis, including permutation tests, cross-validation and plotting. By Balázs R. Sziklai and colleagues, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: VARshrink: An R Package for Shrinkage Estimation of High-Dimensional Vector Autoregressive ModelsVector autoregressive (VAR) models are widely used to study dynamic relationships in multivariate time series, with applications ranging from economic and financial forecasting to gene network analysi...

Many time series, many parameters: VARshrink by Namgil Lee & Sung-Ho Kim brings shrinkage estimation to high-dimensional vector autoregressive models in R. Read their workflow in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: mtarm: Bayesian Analysis of Multivariate Threshold Autoregressive Models in RThis paper introduces mtarm, an R package for Bayesian estimation, inference, and forecasting in multivariate Threshold Autoregressive (TAR) models. The package supports both standard m-step-ahead for...

Explore nonlinear multivariate time series with mtarm: Bayesian threshold autoregressive modelling, forecasting and model assessment in R. By Luis Hernando Vanegas and colleagues, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: echos: An R Package for Automatic Time Series Forecasting using Echo State NetworksThe paper introduces echos, an R package for automatic univariate time series modeling and forecasting using Echo State Networks (ESNs). ESNs represent an efficient and flexible method that combines r...

Automatic forecasting with echo state networks: echos by Alexander Häußer offers lightweight modelling with both base R and tsibble/fable interfaces. Explore reproducible examples in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: ODRF: An R Package for Oblique Decision Tree and Its Random ForestThe classification and regression tree (CART) and Random Forest (RF) are popular machine learning methods that involve selecting one predictor at a time as the splitting variable for each node. The us...

New in The R Journal: ODRF by Yu Liu & Yingcun Xia implements oblique decision trees and random forests, using combinations of predictors for splits. Includes boosting, visualisation and online tree updates. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: hdtg: An R Package for High-Dimensional Truncated Normal SimulationSimulating from the multivariate truncated normal distribution (MTN) is required in various statistical applications yet remains challenging in high dimensions. Currently available algorithms and thei...

Simulating high-dimensional truncated normal distributions? hdtg provides scalable samplers in R. New in The R Journal, by Zhenyu Zhang, Andrew Chin, Akihiko Nishimura & @msuchard.bsky.social. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Admix: An R Package for Estimation, Test and Clustering in Admixture ModelsThe R package admix, available on CRAN, implements a wide variety of functions dedicated to estimation, tests and clustering of admixture models, also known as contamination models. Such models are tw...

A known distribution mixed with an unknown component? admix supports estimation, testing and clustering for these contamination models. By Xavier Milhaud and colleagues, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

journal.r-project.orgThe R Journal: iAR: An R Package for Autoregressive Modeling Irregularly Observed Time SeriesiAR is an R package that provides tools for handling autoregressive models irregularly observed, for one or two dimensions, stationary time series. The standard autoregressive (AR) model is not suitab...

Uneven time gaps? iAR offers autoregressive models designed for irregularly observed time series, with tools for estimation, simulation, forecasting and interpolation. By Felipe Elorrieta and colleagues, in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: psvmSDR: An R Package for a Unified Algorithm for Sufficient Dimension Reduction via Principal MachinesSufficient dimension reduction (SDR), which seeks a lower-dimensional subspace of the predictors containing regression or classification information, has been popular in a machine learning community. ...

Reduce predictors while retaining information for regression or classification. psvmSDR by Jungmin Shin, Seung Jun Shin & Andreas Artemiou unifies principal-machine methods for dimension reduction. New in The R Journal. #rstats journal.r-project.org/articles/RJ-...

journal.r-project.orgThe R Journal: Volume 18/3Articles published in the September 2026 issue

Please note that the following summaries are AI-generated. Apologies for any mistakes.

Emi Tanaka reposted

R Consortium

@rconsortium.bsky.social

21 Sept

What does it take to sustain R? Join R Consortium, R Core & R Foundation Oct 6 to discuss the people, infrastructure & community behind R. 12 PM PT / 3 PM ET / 8 PM London Register: r-consortium.org/webinars/sus... #RStats

Emi Tanaka reposted

Dariia Mykhailyshyna

@dariia.bsky.social

8 Sept

This workshop is in two days so don’t forget to register ! Details: bit.ly/3wBeY4S Please share! #AcademicSky #EconSky #RStats

Dariia Mykhailyshyna@dariia.bsky.social

❗️Our next workshop will be on September 10th 6 pm CET by @tomaszwozniak.bsky.social on bpvars for forecasting with Bayesian Panel Vector Autoregressions Register or sponsor a student by donating to support Ukraine! Details: bit.ly/3wBeY4S Please share! #AcademicSky #EconSky #RStats

21 Aug

Making good use of my annual leave 🤗 🍚

benharrap.comGet to know the new President of the Statistical Society of Australia (it’s me) – Ben Harrap

12 Aug

All hail our new President 🎉🎉🎉

Ben Harrap@bharrap.bsky.social

The Statistical Society of Australia has a new President... No, it's not Randy the greyhound (although he would've done a fine job) It's me! If you want to know a little more about me, I have the blog post just for you :) benharrap.com/post/2026-08... #statssky #datascience

jobs.anu.edu.auResearch Fellow (Biostatistician) - Canberra / ACT, ACT, AustraliaClassification: Academic Level BSalary package: $124,638 - $141,317 per annum plus 17% superannuation Terms: Full time, Continuing Opportunity to undertake high-quality independent research in Biosta...

9 Aug

More continuing positions at the Australian National University! 🇦🇺🦘🐨 ⭐ Biostatistician - apply by 4 Sep 2026 23:55 AEST: jobs.anu.edu.au/jobs/researc... ⭐ Senior Data Scientist - apply by 23 Aug 2026 23:55 AEST: jobs.anu.edu.au/jobs/senior-... #Statistics #StatsJobs

Emi Tanaka reposted

Martyn Plummer

@martynplummer.bsky.social

7 Aug

Come and work with us! If you have a PhD in Statistics (or related subject) and are looking to develop a teaching focused career in academia then please get in touch. We have a very strong teaching team here.

Richard Everitt@bayesianstats.bsky.social

Two year Teaching Fellow post at Warwick Stats. CLOSING DEADLINE: Monday 17 August 2026 at 11:55pm (UK Time). warwick-careers.tal....

jobs.anu.edu.auSenior Data Scientist - Canberra / ACT, ACT, AustraliaClassification: ANU Senior Manager 1 (Administration)Salary package: $141,637 - $148,403 per annum plus 17% superannuationTerms: Full-time, Continuing The Position Operating under broad strategic guid...

6 Aug

📢🇦🇺 Australian National University is recruiting a continuing Senior Data Scientist 👩‍💻🧑‍💻 Bring your statistical expertise and help turn data into meaningful university-wide insights 📊 📅 Apply by 23 Aug 2026 23:55 AEST #Statistics #StatsJobs jobs.anu.edu.au/jobs/senior-...

Emi Tanaka reposted

Ben Harrap

@bharrap.bsky.social

24 July

You thought abstract submissions for the Australian Data Science Network Conference were closing today? Nope! Like all good conferences, we're extending the deadline by one week. The final deadline is July 31st (for real this time!) adsnconf2026.netlify.app @ardc.edu.au #statssky #datascience

adsnconf2026.netlify.appAustralian Data Science Network Conference 2026 – ADSN202626th & 27th November 2026, Australian Bureau of Statistics House, Canberra

22 July

There's eduroam at Brisbane airport!! And it works! What?! How good is that!

Emi Tanaka reposted

Dr Liz Allen

@drdemography.com

21 July

ANU has been to hell and back. It’s time we come together. It’s time for a BIG community block party! ANU turns 80 this year and to celebrate the campus is opening up to all. Please come along. Bring your friends, the family! There’s free face painting!! www.anu.edu.au/about/our-hi...

16 July

Got to hang with the cool ladies 🪭

Karen Lamb@kelamb.bsky.social

Fantastic to catch up with our phenomenal Brisbane leadership keynote speakers in Brisbane this week. Thanks again Tonya Esterhuizen and @emitanaka.org and to @nicolewhite.bsky.social for finding us great food!

Emi Tanaka reposted

Karen Lamb

@kelamb.bsky.social

15 July

Fantastic talk from @emitanaka.org on working with LLMs in #datascience at #ICOTS12. Highlights thinking of interacting with AI as a junior analyst with the statistician/data scientist in a manager/supervisor role to review/quality control output. Always enjoy hearing Emi talk! #statistics #teaching

11 July

@nicolewhite.bsky.social and @kelamb.bsky.social and co did a great job running this event. Superbly organised and really impressed how the two hub event run so smoothly. Thank you for organising the event! 👏👏👏

Matt Cooper@nzcoops.bsky.social

The past two days at "Essential skills for statistics leadership in consultancy and research" were two of the most energising days I've had in (without aging myself) decades of research. Thank you @nicolewhite.bsky.social for reaching out to invite me and @kelamb.bsky.social for co-organising 🙌🏼🙏🏼

jobs.smartrecruiters.comPouako|Lecturer to Senior Lecturer to Associate Professor - Te Kura Tatauranga|Department of StatisticsCompany Description: Waipapa Taumata Rau | The University of AucklandTe Whare Pūtaiao | Faculty of Science is the leading science faculty in Aotearoa New Zealand and one of the largest in Au...

11 July

Get in touch with @myramcguinness.bsky.social if you're looking for an enthusiastic and experienced biostatistician 👇

This post is unavailable.

Emi Tanaka reposted

Thomas Lumley

@tslumley.bsky.social

8 July

Here's the official ad: we're hiring for a continuing position up to A/Prof. It's a large stats dept with a broad view of statistics. Research areas include probability, computing, ecology, astronomy, stats education, biostats. We care about teaching quality: students are our main funding source

Emi Tanaka reposted

Michael Mumford

@michaelmumford.bsky.social

1 July

Abstract submission date for #AASC2026 officially extended to July 9 (11pm GMT)! Please note that there will be no additional extensions to the abstract submission date aasc2026.netlify.app/abstracts

aasc2026.netlify.appCall for abstracts – #AASC2026

adsnconf2026.netlify.appProgram – ADSN2026

24 June

Thank you for having me!

Ben Harrap@bharrap.bsky.social

Can you guess who the new #ADSN2026 keynote is? 🇦🇺 Listed in @significancemag.bsky.social's prominent Australian statisticians 💻 Developer of open-source #statistics and #datascience software 🤩 Editor of the #rstats journal You got it, it's @emitanaka.org! adsnconf2026.netlify.app/program#dr-e...

rousseeuwprize.orgThe Rousseeuw Prize for StatisticsThe Rousseeuw Prize for Statistics is a biennial prize to celebrate outstanding contributions to statistics research.

17 June

Congratulations to the R Core Team! 🎉🎉🎉

The R Foundation@r-foundation.bsky.social

The 2026 Rousseeuw Prize for Statistics has been awarded to the R Project. #RStats www.rousseeuwprize.org/2026

Emi Tanaka reposted

The R Foundation

@r-foundation.bsky.social

17 June

The 2026 Rousseeuw Prize for Statistics has been awarded to the R Project. #RStats www.rousseeuwprize.org/2026

rousseeuwprize.orgThe Rousseeuw Prize for StatisticsThe Rousseeuw Prize for Statistics is a biennial prize to celebrate outstanding contributions to statistics research.