Daniel 🕹️

Daniel 🕹️

@strengejacke.de

He/she/it - 's' muss mit. We're lower than the world! R easystats project: https://easystats.github.io/easystats/

628 followers113 following523 posts

Daniel 🕹️ reposted

Grant McDermott
@gmcd.bsky.social

𝐭𝐢𝐧𝐲𝐩𝐥𝐨𝐭 v0.8.0 now available on CRAN 🎉 grantmcdermott.com/tinyplot/ This is another big release: new plot types, finer facet & axis control, smarter handling of categorical data, and lots more. Same tiny footprint, though. Short highlight thread below 🧵 #rstats

Daniel 🕹️ reposted

Katharina Nocun
@kattascha.bsky.social

Hm, ich weiß, es ist ein beliebter Take von US-Rechten, liberalen Frauen Intoleranz vorzuwerfen, weil sie seltener rechte Männer daten wollen. Ergo tragen sie Schuld an männl. Einsamkeit & Radikalisierung, usw. Aber müssen wir wirklich jeden Quatsch hierzulande kopieren? Es langweilt mich. 🙄

Daniel 🕹️
@strengejacke.de

Is Regression to the Mean a thing in longitudinal analysis using mixed models with random slopes (and interaction term between time x group)? And if so, to which extent? Or can we be relaxed due to shrinkage, and if we use pseudo-randomization via counterfactual predictions?

Daniel 🕹️
@strengejacke.de

The guillotine for the garbage-can regression...

easystats@easystats.github.io

Fitted the model? Great, that was just step one. 🛠️ Learn how to extract the actual answers to your research questions (predictions, contrasts, slopes) using the {modelbased} modelisation-approach. Read the new vignette here: easystats.github.io/modelbased/a... #RStats #easystats

Daniel 🕹️ reposted

Aki Vehtari
@avehtari.bsky.social

All four books I've co-authored are freely available online for non-commercial use: - Bayesian Workflow at avehtari.github.io/Bayesian-Wor... Links to other three books are in the quoted post 👇 (too many books to fit in one post!)

avehtari.github.ioBayesian Workflow book: Website – Bayesian Workflow bookWebsite for the Bayesian Workflow book by Gelman, Vehtari, McElreath, et al. — case studies, code, and exercises in R and Stan.
Aki Vehtari@avehtari.bsky.social

All three books I've co-authored are freely available online for non-commercial use: - #Bayesian Data Analysis, 3rd ed (aka BDA3) at stat.columbia.edu/~gelman/book/ - #Regression and Other Stories at avehtari.github.io/ROS-Examples/ - Active Statistics at avehtari.github.io/ActiveStatis...

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Daniel 🕹️
@strengejacke.de

Bayesian priors aren't just arbitrary guesses - you can (and should) validate them. Our paper shows how to use prior predictive checks to map your domain knowledge onto the model, ensuring your assumptions generate realistic, well-calibrated priors. #Rstats #Stan #Bayes

Daniel 🕹️
@strengejacke.de

All material (code, data) is freely available at osf.io/8evy5/, but you can also use the easy-to-use function `check_priors()` in the #easystats {performance}📦 to conduct prior predictive checks: easystats.github.io/performance/...

easystats.github.ioPrior predictive checks — check_priorsSimulates from the prior marginal distribution of the data to assess the consistency of the chosen priors with domain knowledge (Gabry et al. 2019, Lüdecke et al. 2026) and creates a visualization fro...
Daniel 🕹️
@strengejacke.de

Small samples or rare events making your frequentist models unstable? In our paper, we show how Bayesian informative priors act as a regularizing force, narrowing credible intervals and preventing implausible estimates when data is sparse. >

Daniel 🕹️
@strengejacke.de

Subjectivity concerns holding you back from Bayesian methods? Our tutorial walks through a real-world case study using "believer", "agnostic", and "skeptical" priors to run a built-in sensitivity analysis - ensuring robust and transparent science >

Daniel 🕹️
@strengejacke.de

Curaçao fans were in a fantastic mood even after their defeat against Germany—and then, the German Ballermann music started playing in Houston 🙈 Horrible...

Daniel 🕹️
@strengejacke.de

The biggest hurdle in switching from SPSS to R is thinking in programming logic. Instead of single datasets or temporary outputs, R treats everything as an object. To master this mindset, I highly recommend Andy’s video series - especially "Creating an Object" and "What is a function?" #rstats

Prof Andy Field@profandyfield.com

There's also `creating objects in R`, but that one doesn't involve cake and I look really misreable in the thumbnail. youtu.be/i894fWOkmEw

youtu.beCreating objects in RYouTube video by Discover Statistics
Daniel 🕹️
@strengejacke.de

Even if you don't like Bayes factors, if you read this, you'll like them! #easystats #rstats #bayestestR

Mattan S. Ben-Shachar@mattansb.msbstats.info

🚨NEW-ish VIGNETTE ALERT🚨 The Bayes factor vignette for {bayestestR} has been completely re-written! We've got all the BFs! - Marginal likelihoods - Model & posterior averaging - Order restrictions - Savage-Dickey density ratios AND MORE! Read it up, here: @easystats.github.io #Bayes #rstats

Daniel 🕹️ reposted

Chris
@chris-hhh.bsky.social

ICE vs Ice

Chris@chris-hhh.bsky.social

someone should compile all of these and screen it at the cine latino film festival or the twin cities arab film festival , to raise money for anti-ice stuff

Daniel 🕹️ reposted

Andrew Bell
@andrewjdbell.bsky.social

Want to know how to use MAIHDA to examine heterogeniety in policy outcomes? Here's a nice worked-through example! How does intersectional identity impact preference for in-person vs online GP appoinments? Has been great working with @healthfoundation.bsky.social colleagues on this :)

Charles Tallack@charlestallack.bsky.social

Intersectionality describes how demographic disadvantages can interact to amplify inequalities. But how to model this? New from colleagues in our analysis team: a case study of GP appmts & patient experience, illustrating the MAIDHA intersectional modelling approach. medium.com/healthfdn-da...

medium.comIntersectional modelling in health policy: a case study on remote GP appointments and patient…Across nearly all aspects of health and health care, there are disparities between different demographic groups. These are often the result…
Daniel 🕹️
@strengejacke.de

These are my #Positron extensions I've currently installed. Are there any "must haves" missing in my list, what other extensions would you recommend etc.? (answers including "python" will be ignored... 😎) #rstats #rstudio #vscode

Daniel 🕹️
@strengejacke.de

Is there a term for this kind of approach, which maybe also include "simpler" analyses, like the general use of EMMs or comparisons and alike? I always use "pairwise comparisons" as a synonym, because that is what more people know. What I'm actually referring to is a "post-estimation framework" /1

Julia M. Rohrer@dingdingpeng.the100.ci

Ever stared at a table of regression coefficients & wondered what you're doing with your life? Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social) Preprint: doi.org/10.31234/osf... Website: j-rohrer.github.io/marginal-psy...

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Daniel 🕹️
@strengejacke.de

Is there a term for this kind of approach, which maybe also include "simpler" analyses, like the general use of EMMs or comparisons and alike? I always use "pairwise comparisons" as a synonym, because that is what more people know. What I'm actually referring to is a "post-estimation framework" /1

Julia M. Rohrer@dingdingpeng.the100.ci

Ever stared at a table of regression coefficients & wondered what you're doing with your life? Very excited to share this gentle introduction to another way of making sense of statistical models (w @vincentab.bsky.social) Preprint: doi.org/10.31234/osf... Website: j-rohrer.github.io/marginal-psy...

Daniel 🕹️
@strengejacke.de

... and this framework roughly requires/includes: - what is your estimand? - fit an appropriate statistical model - answer the question(s) with a "post-estimation toolbox" (using models as "prediction machines", to use the metaphor of the authors)