Question Context This is a fairly open-ended question regarding best practices for open science using restricted third party data. By virtue of the data used for this study, I cannot share the raw data directly as this must be requested through the third party, but I do still want to share as much …

Another option is to create simulated data that has the same statistical properties and share that. I’ve done this on a few projects were the data were confidential but folks wanted to investigate the workflow and modeling choices.

@Ara_Winter , I like the idea of simulating data as a way of helping people play in the model and figure out what is being done under the hood. I have been thinking about this topic for the last week now, and I wonder whether anyone has experience including the models as part of a Shiny + Markdown f…

[image] wgoette: I have been thinking about this topic for the last week now, and I wonder whether anyone has experience including the models as part of a Shiny + Markdown format. So Shiny can do almost anything, so it can definitely also include a model. On the other hand, pure markdown can’…

Hello community! I am facing the same (or almost) issue. I want to make my brms model available but not the training data, which comes from third party. I want to allow the simple usage of the model as a predictive tool without sharing the original data. And honestly, I do not understand why one…

Have you tried something like: m$data$x1 <- NA m$data$x2 <- NA m$data$y <- NA new_data <- cbind.data.frame(x1=0.5, x2=0.3) predict(m, newdata=new_data) That works for me. That way you remove the actual data but keep the column names and data.frame structure.

Nice, idea! It worked! With the addition, since I have factor variables, I needed to keep the attribute contrasts. Thank you!

I recently had a use case for this where my response variable was an ordered factor called likert, to which I fit a series of ordinal models. I made a little custom function which set all the values in likert to NA, but still retained the column as an ordered factor with the original levels. # Load…

Sharing fitted brms objects after removing data

Interfaces brms

torkar February 25, 2021, 9:45am 5

Could be helpful,
https://synthpop.org.uk

Bayesian power analysis for sample size planning

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Sharing fitted brms objects after removing data

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