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František

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František
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  • Hi ataylor, Could you please save and send me the analysis file which leads to the error (as .JASP)? I can take a look and check what is wrong. Cheers, František (f.bartos96@gmail.com)
  • Hi Satoru, the JASP implementation of GUI does not currently offer interaction of random grouping factors right now subject:music . For now, you can sidestep this issue by creating a compound variable "subject_music" that just contains a …
  • Dear dmalm, As EJ noted, a Bayesian MANOVA would be the most appropriate analysis given your description. Unfortunately, the Mixed Models module does not provide multivariate models (and I haven't seen them in any application outside of textbooks ye…
  • Hi Daniel, Glad you like the interface. Yes, I create a feature request on the JASP GitHub page on your behalf: https://github.com/jasp-stats/jasp-issues/issues/1628. Cheers, Frantisek
  • Dear omocestus, Thank you for the questions, 1) Unfortunately, you cannot test for normality or plot residuals in LMM in JASP. 2) Similarly for overdispersion, however, you can fit a negative binomial model with the Bayesian GLMM in JASP. Cheers, Fr…
  • Thanks for sending the analysis file Daniel, (I'm attaching the reply here as well in case someone else gets into the same problems) One of your predictors, call it the X variable has relatively large values and they are apparently creating problem…
  • Hi Daniel, that's what I would not expect to happen. Could you maybe save the analysis and share the .JASP file with me so I can have a closer look (f.bartos96@gmail.com)? Cheers, Frantisek
  • Hi Daniel, You can start removing the individual random effects by deselecting the checkboxes within the "Random effects" specification under the "Model" tab in JASP. First, you should remove the highest order term interaction an…
  • Hi, This message is a result of a failed convergence check of the likelihood optimizer and indicates that the optimizer might not have converged to the maximum likelihood estimate. In other words (and greatly simplified), the likelihood is usually a…
  • Dear dontchaknowjo, I can't speak about the BayesFactor package, however, JASP currently does not support logistic regression in the Bayesian framework. Nevertheless, you can still fit a frequentist logistic regression in the Regression module. Chee…
  • Hi Anna, thanks for letting me know. We should have access to the intel based Macs so we will take a look at it and see what we can do. Best, Frantisek
  • Hi eniseg, thank you for testing this for us. It suggests that the issue is with the RoBMA R package itself (which is not great news for me since I'm responsible for it). I will see what I can do to make it working on the new M1 chips, but until the…
  • Hi Vincent, Crossed factors should not be an issue in the current JASP implementation - could you please send me a JASP file with the analysis that produced the issue? We will be releasing a new version in a few months so I can get it fixed. You ca…
  • There is actually one thing that might help us to identify the problem. Could you please download the attached file, unzip it, load it into JASP, refresh it, and verify whether the JAGS-JASP module reproduces the output? That way we can figure out w…
  • Hi eniseg, I am really sorry, but I can't help you at this moment - I checked with our team and we do not have a machine running the M1 chip yet. There are many architectural differences between the M1 (based on ARM) and the older Intel (based on x8…
  • Hi eniseg2, thanks for reporting the issue. The RoBMA JASP module should be completely self-contained within JASP, so, there should be no need of installing JAGS and the remaining packages yourself. Can you please clarify what exact version of MacOS…
  • Dear Vincent, The GLMM approach to signal detection theory is indeed interesting, and it definitely would be a nice addition to JASP. I'm unsure whether we currently have the capacity to implement this analysis, but I added it to a list for future d…
  • So, I got an answer regarding the same seed usage across different OSes. Setting a seed does not guarantee identical results across different OSes. Even completely deterministic algorithms may return different results across different OSes. There ar…
  • Hi eniseg2, thanks for getting back to us and glad to hear that you did not experience a similar issue again. Regarding the file transfer between MacOS and Linux, I do not know whether that could have caused the issue but I will forward it to our te…
  • Hi sherloconan, sorry, we do not currently support this feature in JASP. Our implementation is based on afex which builds upon lme4 that does not allow to fit models with different residual variances (as far as I know). This is however possible with…
  • Hi Josh, sorry for the late reply, 1) we unfortunately do not have a pre-print. Since the paper is already under review, we will post-print it. I will ask my coauthors whether I can share it with you though. 2) yes, it's accessible in the JASP Regre…
  • Hi jber3175, 1) You can remove any type of models/prior specifications under the Models section. There is a checkbox at the bottom of the section called Set null priors . Selecting the checkbox will open additional settings that allow you to speci…
  • Hi jber3175, currently, the Bayesian Meta-Analysis analysis does not support a metaregression. However, you are correct that you can obtain a similar functionality from the Bayesian Linear Regression analysis - it's important to keep two things in m…
  • Hi Agata, what you describe should not be the case. Especially in Bayesian Linear Regression where the BF are obtained by quadrature and are not dependent on the seed (the seeds matters for the posterior distribution and interval estimates when the …
  • Hi Agata, Unfortunatelly, I did not receive the email at end and we did not manage to reproduce it internally. If you happen to achive the same problem, let us know please! Best, Frantisek
  • Hi alg, as EJ already mentioned, the Bayesian mixed models do not support Bayes factors yet, so you can't properly evaluate the support for the null hypothesis. The default output (that you copied here) corresponds to the estimated differences betwe…
  • By robustness check, or sometimes called "sensitivity analysis", I mean verifying that your specific analytic choices did not affect the results. For example, some people could argue that you should use all estimates, even though some of t…
  • Yes, that would be my suggestion. I should also note that I'm a co-author of the method, so there is a conflict of interest. Nevertheless, I believe that RoBMA is the best available option in your situation. Cheers, Frantisek
  • Hi Kindred, thank you for the additional details. I did not realize that you have multiple estimates from a single study. There are two possible ways how to deal with this situation: a) as your statistician suggested, select a single estimate from e…
  • Hi Kindred, those are very good questions, let me answer them: 1) You would need to run a meta-regression to properly the effect sizes of different study types. Unfortunately, neither of the Bayesian Meta-Analyses supports the feature (yet). You can…

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