Just curious if anyone has ever tried shinylive at the same time as webexercises and whether the two play nicely with each other?

#rstats
#rshiny
#shinylive

Citogenesis

Almost like citogenesis all over again: xkcd.com/978/

Includes: generalized partial credit model (3 parameterizations), partial credit model, rating scale model, graded response model.

Supports toggling of visuals for item information and logistic "building blocks" for some models.

While teaching a course on Item Response Theory this semester, I created a Shiny app for visualizing some polytomous item response models: falkcarl.shinyapps.io/polytomous/

This is an initial draft, so comments/questions/suggestions are welcome!

#Psychometrics #RShiny #IRT

Now I'm also looking for a research software engineer to implement a pile of research results to R packages loo, posterior, bayesplot, projpred, priorsense, brms or/and Python packages ArviZ, Bambi and Kulprit. Apply by email with no specific deadline (see contact info at users.aalto.fi/~ave/)

FYI.

The House of Commons committee where this went down also records the meetings: www.ourcommons.ca/Committees/e...

I'm now also looking for a postdoc with strong Bayesian background and interest in developing Bayesian cross-validation theory, methods and software. Apply by email with no specific deadline (see contact information at users.aalto.fi/~ave/).

Others, please share

yes, thank you!

Oh sorry! It looks like it might be the issue mentioned in the post. Don't know why it didn't work on previous debugging attempts though. Must have done something wrong. If anyone else reads this, r-shinylive still needs to be the latest dev version.

App with ggplot2 doesn't render without loading the munsell package · Issue #537 · r-wasm/webr I use ggplot2 in the following shinylive app in a quarto document. But it does not show up on the page after the honeycomb loader goes away. As suggested in this thread, the issue is that webR inst...

Relevant app just doesn't load (shinylive in a Quarto doc). Isolated it to just loading ggplot2. And found this post, which kind of looks like @transport-talk.bsky.social : github.com/r-wasm/webr/... I may have to do more debugging. Thought I had the latest r-shinylive. munsell trick does not work

Thank you! I'll take a look. This might do the trick

When there is a random way to do something, there is a less random way that is better but requires more thought. In this case, regression models that make no sense don't belong in a multiverse analysis. An inferential regression without a causal justification is like an opinion without reasons.

Anyone else using #shinylive with #rstats having trouble getting nice plotting packages like #ggplot2 or #plotly to work? Curious what work arounds there are. Many thanks! ( #shiny works fine)

Join us as we explore our options, tomorrow….

There is still time to submit a proposal to host IMPS 2028! Visit www.psychometricsociety.org/hosting-oppo... for details. #QuantitativePsychology #Psychometrics

I clearly had a lot of thoughts/feelings from reading Terry's blog post, so I wrote one of my own

It ended up being a bit of a stream-of-thought post but I think it captures some of my worries

benharrap.com/post/2025-10...

#statssky #episky #academicsky

Would sure be funny to embed certain keyword combinations into assignments to mess with cheating students who then copy the questions into an LLM prompt.

And I also typed this, but don't see it in my reply now. Weird: So, the part about "skewed distributions of predictors and outcomes" may not be correct. Depending on the setup and nonnormality, Bayesian estimation is sometimes robust, but not in general.

didn't need the "sometimes" in there, but whatever, it's late

So, the part about "skewed distributions of predictors and outcomes" may not be correct. Depending on the setup and nonnormality, Bayesian estimation is sometimes robust, but not in general.

Bayesian estimation sometimes makes distributional assumptions about the data that bootstrap does not. We put blavaan into this paper (on nonnormality) in part to illustrate that it is not inherently robust to distributional assumption violations: osf.io/preprints/ps...

Agree that once a joint distribution is found, just multiply a*b and then use that to find intervals. Bootstrap, Bayes, MC, are similar in this regard. But, while it doesn't matter if a or b have normal sampling distributions...

Add robustbase to the list of #rstats packages. If it were really that the estimates were ok but standard errors not trustworthy, I wonder if there is an appropriate sandwich covariance matrix (sandwich package worth a look). I can’t say what’s best.

Like others say, go for it. Most times I've done something similar it's helped in other contexts. e.g., knowing one sampler has helped with custom programming simulated annealing, Metropolis-Hastings Robbins-Monro, etc., where there was no apparent software implementation for my purpose. 👍

Does anyone else accidentally click on reactions to emails on #Outlook for Office 365? Why can I react to emails? 🎉

So, I take it from this discussion that (a) such a thing does not exactly exist publicly, at least in a great/flexible format, and that (b) one/both of you are going to create something?

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Computer adaptive test, as in use of IRT to shorten a test, reduce the number of items needed to assess certain constructs

Neat! I don’t suppose it supports a CAT yet?