Xinkai Du
@xinkaidu.bsky.social
PhD in PsychMethods & ClinicalPsych with @sverreuj @SachaEpskamp | Prev @UvAmsterdam @UWaterloo | (Network) Psychometrics; (Intensive) Longitudinal Data; Natural Language Processing; Applied Statistics
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/....
osf.io/preprints/ps..., accompanied by an R package, netDFI: github.com/xinkaidupsy/....
OSF
osf.io
January 19, 2026 at 9:05 PM
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/....
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.
October 6, 2025 at 5:04 PM
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
Sign the Petition
Adopt Registered Reports at Psychological Methods
chng.it
August 23, 2025 at 6:39 PM
Adopt Registered Reports at Psychological Methods - Sign the Petition! chng.it/8h2KXXR4jk
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. :)
Had a wonderful encounter with a deer on the way to campus. :)
July 12, 2025 at 1:41 PM
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. :)
Had a wonderful encounter with a deer on the way to campus. :)
Reposted by Xinkai Du
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
July 2, 2025 at 7:03 PM
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...
Reposted by Xinkai Du
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-...
psycnet.apa.org/record/2026-...
APA PsycNet
psycnet.apa.org
June 26, 2025 at 5:04 AM
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-...
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...
June 26, 2025 at 8:00 AM
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...
Reposted by Xinkai Du
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/...
journals.sagepub.com/doi/10.1177/...
June 2, 2025 at 5:24 PM
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/...
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
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
May 26, 2025 at 11:08 AM
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
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
Reposted by Xinkai Du
🥳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!
👇
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!
February 14, 2025 at 8:41 AM
🥳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!
👇
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!
Reposted by Xinkai Du
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
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
February 13, 2025 at 12:04 PM
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
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
Reposted by Xinkai Du
Check out this important methodological validation study of SEM fit indices for (confirmatory) network modeling. Led by @xinkaidu.bsky.social!
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
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 ...
www.researchgate.net
February 7, 2025 at 7:22 AM
Check out this important methodological validation study of SEM fit indices for (confirmatory) network modeling. Led by @xinkaidu.bsky.social!
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
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 ...
www.researchgate.net
February 7, 2025 at 6:24 AM
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
PsyArXiv: osf.io/preprints/ps...
RG: www.researchgate.net/publication/...
Shiny app: github.com/xinkaidupsy/...
See 🧵 for the summary of results
Reposted by Xinkai Du
Looking for a longitudinal (ideally intensive) dataset where missing data is expected to be problematic, i.e. MNAR, anyone have pointers to good examples?
January 15, 2025 at 10:47 AM
Looking for a longitudinal (ideally intensive) dataset where missing data is expected to be problematic, i.e. MNAR, anyone have pointers to good examples?
Reposted by Xinkai Du
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
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
January 3, 2025 at 4:34 PM
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
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
Reposted by Xinkai Du
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
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
January 3, 2025 at 4:49 PM
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
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
Reposted by Xinkai Du
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-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
December 20, 2024 at 8:09 PM
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-graph-gallery.com/color-palett...
Reposted by Xinkai Du
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
December 13, 2024 at 7:30 PM
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...
Reposted by Xinkai Du
Conspiracy theories and violent extremism: http://osf.io/emgjf/
December 10, 2024 at 4:18 PM
Conspiracy theories and violent extremism: http://osf.io/emgjf/
Reposted by Xinkai Du
🛩️ 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)
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)
December 9, 2024 at 7:46 AM
🛩️ 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)
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)
Reposted by Xinkai Du
Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods: http://osf.io/s3re6/
November 25, 2024 at 8:15 PM
Evaluating General Network Scoring Methods as Alternatives to Traditional Factor Scoring Methods: http://osf.io/s3re6/
🤔
If you are a Julia user you should be aware of this: yuri.is/not-julia/
Why I no longer recommend Julia
yuri.is
November 20, 2024 at 1:59 PM
🤔
Reposted by Xinkai Du
Working on some network stuff. It's oddly satisfying going from this network spaghetti to something a bit more organized
November 18, 2024 at 4:24 PM
Working on some network stuff. It's oddly satisfying going from this network spaghetti to something a bit more organized
Reposted by Xinkai Du
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
November 15, 2024 at 9:12 PM
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?...
Reposted by Xinkai Du
November 15, 2024 at 6:01 PM