I’m thrilled to introduce flownet (https://sebkrantz.github.io/flownet/), a new R package for transport modeling, supporting stochastic or deterministic traffic assignment to large networks, and powerful tools for (multimodal) network processing/simplification. Read the release blog post at https://sebkrantz.github.io/Rblog/2026/02/09/introducing-flownet-efficient-transport-modeling-in-r/ #Rstats #DataScience
I’m thrilled to introduce flownet (https://sebkrantz.github.io/flownet/), a new R package for transport modeling, supporting stochastic or deterministic traffic assignment to large networks, and powerful tools for (multimodal) network processing/simplification. Read the release blog post at https://sebkrantz.github.io/Rblog/2026/02/09/introducing-flownet-efficient-transport-modeling-in-r/ #Rstats #DataScience
Offcanvas 1.0.0 for Quarto is now available.
Simple syntax for Bootstrap offcanvas components using fenced divs.
Automatically converts margin content to collapsible panels on mobile, keeping aside notes accessible where they're referenced.
https://github.com/mcanouil/quarto-offcanvas
#Quarto #DataScience #Bootstrap
chronometre: A new package (pair) demo for R and Python
Efficient yet simple object exchange between R and Python
https://dirk.eddelbuettel.com/blog/2026/02/08#chronometre_initial_pair
#rstats #rcpp #python #datascience
chronometre: A new package (pair) demo for R and Python
Efficient yet simple object exchange between R and Python
https://dirk.eddelbuettel.com/blog/2026/02/08#chronometre_initial_pair
#rstats #rcpp #python #datascience
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...
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...
📬 Issue No. 5 of Notes on Data and Learning highlights the skill of omission in education.
In teaching data, statistics, or modeling, deciding what to exclude is as crucial as what to include, preventing overwhelm while keeping depth.
Drawing from my Health Metrics and Infectious Diseases experience, I discuss how teaching and writing prioritize over completeness.
👉 Full issue on Substack: https://federicagazzelloni.substack.com
This week's data science gag in Private Eye.
This week's data science gag in Private Eye.
Datasci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example: human-centric network science, social data science, computational social science, geospatial data science.
You can find out more at https://datasci.social/about or contact the admin account @mszll
#FeaturedServer #DataScience #DataSci #Mastodon #Fediverse #FreeFediverse
Episode 220 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/220
🎙️ @emilyriederer shares her data science insights on the Test Set @Posit
💪 Git for data workflows @fgazzelloni @rladiesrome
🏗️ libdplyr @mrchypark
Spreading the word of the R Weekly project, contributing your favorite resource to the site, or sending your hosts a fun boost are excellent ways to participate in #value4value!
h/t @mike_thomas & @jonocarroll 🙏
Datasci.social is a Mastodon server for researchers & practitioners in human-centric data science, broadly defined. For example: human-centric network science, social data science, computational social science, geospatial data science.
You can find out more at https://datasci.social/about or contact the admin account @mszll
#FeaturedServer #DataScience #DataSci #Mastodon #Fediverse #FreeFediverse
Episode 220 of the @rstats @rweekly Highlights Podcast is out! https://serve.podhome.fm/episodepage/r-weekly-highlights/220
🎙️ @emilyriederer shares her data science insights on the Test Set @Posit
💪 Git for data workflows @fgazzelloni @rladiesrome
🏗️ libdplyr @mrchypark
Spreading the word of the R Weekly project, contributing your favorite resource to the site, or sending your hosts a fun boost are excellent ways to participate in #value4value!
h/t @mike_thomas & @jonocarroll 🙏
The first data science book that has a chapter on monads https://reproducible-data-science.dev/
Learn how to build robust #DataScience pipelines with #RStats, #Python , #Julia and #Nix !
Looking at #correlation plots, I sometimes see R² ("R-squared") reported instead of the Pearson correlation coefficient r. While R² = r² holds in simple linear regression, reporting R² alone can mislead by omitting directionality. I have summarized the key differences between r and R² and tried to give a best-practice guide on when to use each:
🌍 https://www.fabriziomusacchio.com/blog/2025-09-13-r_vs_r_squared/
The first data science book that has a chapter on monads https://reproducible-data-science.dev/
Learn how to build robust #DataScience pipelines with #RStats, #Python , #Julia and #Nix !
Due to a recent discussion with colleagues on whether and when to use #LinearMixedModels ( #LMM), I wrote a blog post comparing LMM to other approaches using simulated data. I thought, it may also be useful for others working with hierarchical data structures in #neuroscience and beyond.
🌍 https://www.fabriziomusacchio.com/blog/2026-01-31-linear_mixed_models/
#Python #Statistics #DataScience #MixedModels #Statsmodels #ANOVA #ANCOVA #GLMM #regression