Thrilled to share that our work (with Sverre Urnes Johnson and @sachaepskamp.bsky.social) on invariance partial pruning (IVPP), a novel approach to comparing networks in time-series and panel data is now online at Psychological Methods 10.1037/met0000824 (preprint link: 10.31234/osf.io/vb8dz_v2).

My latest work with @sachaepskamp.bsky.social on creating dynamic fit index cutoffs for Gaussian graphical models is now out as a preprint: osf.io/preprints/ps..., accompanied by an R package, netDFI: github.com/xinkaidupsy/....

Day 1 at Stanford and officially started my 4-month US visit in this special time. Amazed by the beautiful campus.

Adopt Registered Reports at Psychological Methods - Sign the Petition! chng.it/8h2KXXR4jk

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Currently visiting Dr. Johnny Zhang in Notre Dame and excited to learn about his approaches combining CS and psychometrics. Had a wonderful encounter with a deer on the way to campus. :)

Thrilled to see our TinyRNN paper in @nature! We show how tiny RNNs predict choices of individual subjects accurately while staying fully interpretable. This approach can transform how we model cognitive processes in both healthy and disordered decisions. doi.org/10.1038/s415...

Discovering cognitive strategies with tiny recurrent neural networks - Nature

Modelling biological decision-making with tiny recurrent neural networks enables more accurate predictions of animal choices than classical cognitive models and offers insights into the underlying cog...

doi.org

Happy to share that our article, led by @xinkaidu.bsky.social, on confirmatory network modeling has been published in Psychological Methods! psycnet.apa.org/record/2026-...

Thrilled to share that this paper has now been published on Psychological Methods. See 🧵 below for an intro & shinyapp to view the results, as well as non-paywalled version. dx.doi.org/10.1037/met0...

Xinkai Du@xinkaidu.bsky.social · last yr.

Preprint on using SEM fit indices & conventional cutoffs in confirmatory network analysis updated! Now with a Shiny app for results display. PsyArXiv: osf.io/preprints/ps... RG: www.researchgate.net/publication/... Shiny app: github.com/xinkaidupsy/... See 🧵 for the summary of results

Some papers are really good because they make just one point, but they make it really clearly — such as “Statistical Control Requires Causal Justification” journals.sagepub.com/doi/10.1177/...

The three-month research visit with @sachaepskamp.bsky.social at NUS was a great memory, and even more excited with research output. Excited to share a novel approach to compare networks models in time-series and panel data, which we term invariance partial pruning (IVPP). osf.io/vb8dz_v1

🥳thrilled that our dockerHDDM tutorial paper, after many years's work was published in my dream journal AMPPS of @psychscience.bsky.social 🤩 👇 doi.org/10.1177/2515.... The image's been downloaded 10K+⏬ docker Hub Such a pleasure to work w/ Wanke, Ru Yuan, Haiyang & member of HDDM/HSSM team!

1/3 Tutorial on exploring ecological momentary assessment data is online at AMPPS, with: - Accessible ways to visualize data for better understanding - Models to get some first insights - Further reading boxes for more advanced topics - Reproducible pipeline you can run over your own data

Check out this important methodological validation study of SEM fit indices for (confirmatory) network modeling. Led by @xinkaidu.bsky.social!

Xinkai Du@xinkaidu.bsky.social · last yr.

Preprint on using SEM fit indices & conventional cutoffs in confirmatory network analysis updated! Now with a Shiny app for results display. PsyArXiv: osf.io/preprints/ps... RG: www.researchgate.net/publication/... Shiny app: github.com/xinkaidupsy/... See 🧵 for the summary of results

Preprint on using SEM fit indices & conventional cutoffs in confirmatory network analysis updated! Now with a Shiny app for results display. PsyArXiv: osf.io/preprints/ps... RG: www.researchgate.net/publication/... Shiny app: github.com/xinkaidupsy/... See 🧵 for the summary of results

(PDF) Moving from exploratory to confirmatory network analysis: An evaluation of SEM fit indices and cutoff values in network psychometrics

PDF | Network models are well-suited for phenomena detection, and most empirical network studies have been exploratory so far. Yet, due to the close... | Find, read and cite all the research you need ...

researchgate.net

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

link 📈🤖 Penalized weighted GEEs for high-dimensional longitudinal data with informative cluter size (Ma, Wang, Jiang) High-dimensional longitudinal data have become increasingly prevalent in recent studies, and penalized generalized estimating equations (GEEs) are often used to model such data. H

link 📈🤖 Penalized Quasi-likelihood for High-dimensional Longitudinal Data via Within-cluster Resampling (Ma, Wang, Jiang) The generalized estimating equation (GEE) method is a popular tool for longitudinal data analysis. However, GEE produces biased estimates when the outcome of interest is assoc

I was today years old when I found this gem of a web app to explore 2500+ color palettes for R: r-graph-gallery.com/color-palett...

R Color Palette Finder

The ultimate tool for finding the perfect color palette for data visualization with R and paletteer. Explore over 2000 palettes, see them in action on various charts, simulate color blindness, and exp...

r-graph-gallery.com

A real pleasure to run two workshops on time series and forecasting to wrap up #ESAus2024. Great to see so many wonderful scientists doing temporal ecology in Australia. Hopefully my {mvgam} software can help with some of this: youtube.com/playlist?lis...

Time series in R and Stan using the mvgam package - YouTube

This series of webinars introduces the mvgam R package, which can fit State-Space Dynamic Generalized Additive Models using Bayesian inference to time series...

youtube.com

Conspiracy theories and violent extremism: http://osf.io/emgjf/

🛩️ On my way to #NeurIPS2024 and excited to chat about (ML applications of) linear algebra, differentiable programming, and probabilistic numerics! Feel free to DM if you’d like to meet up, hang out, and/or discuss any of these topics 😊 (Where to find me & paper info? -> Thread)

Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods: http://osf.io/s3re6/

🤔

Russ Poldrack@russpoldrack.org · 2y ago

If you are a Julia user you should be aware of this: yuri.is/not-julia/

Working on some network stuff. It's oddly satisfying going from this network spaghetti to something a bit more organized

FYI Lisa has a multi week course on this recorded. I attended the first week or two and it was great, I just didn’t have the time to continue with it. youtu.be/XiM4jFJ6ocY?...

Intro to R Packages: Setting Up a Package Project (Week 1)

YouTube video by Lisa DeBruine

youtu.be

go.bsky.app/MMeFFH6

Our long didactic paper on #network analysis, written with many of the amazing scientists that work in the field is finally out in IJMPR and open access ! It was a long and collaborative effort two years in the making, but, it was worth it! Please repost onlinelibrary.wiley.com/doi/10.1002/...

Network analysis: An overview for mental health research

Network approaches to psychopathology have become increasingly common in mental health research, with many theoretical and methodological developments quickly gaining traction. This article illustrat...

onlinelibrary.wiley.com

The Exploratory Graph Model is now LIVE! TL;DR: The paper introduces the Exploratory Graph Model (EGM), a new mathematical framework for analyzing psychological measurements using networks instead of traditional latent variable models 1/n osf.io/preprints/ps...

This article gives a phenomenal overview of the history and evolution of best practices in measurement invariance and differential item functioning -- I can't remember the last time I learned so much reading a single paper, highly recommended! www.tandfonline.com/doi/full/10....

A Review of Some of the History of Factorial Invariance and Differential Item Functioning

The concept of factorial invariance has evolved since it originated in the 1930s as a criterion for the usefulness of the multiple factor model; it has become a form of analysis supporting the vali...

tandfonline.com

Starter packs are genius, but I was surprised there wasn't a list of them for people to find. So I built it: blueskydirectory.com/starter-pack... The website monitors the packs being shared and adds the ones it finds to the database. Missed your stater pack? Message me and I'll get it added.

All - Bluesky Directory

A curated collection of all things relating to the Blue Sky social media platform.

blueskydirectory.com