EJ
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- EJ
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Comments
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That does not appear to be the case, but I'll ask our expert. E.J.
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That is correct. The figure is meant to be descriptive, so it uses a flat prior (and therefore gives the same result as the frequentist confidence intervals). The complication with basing the credible interval on the model is that there are often mu…
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Kruschke developed a Bayesian t-test (with the emphasis on "a"). This is not the one implemented in JASP, which is based on the work by Jeffreys. In the help file you will see a reference to Rouder et al., 2009, and Gronau et al. The assum…
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I've checked and this does not ring a bell for anybody in the team. But we've added it to our list. Cheers, E.J.
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Dear jmbostwick, "My understanding is that the BF01 for a given model can be roughly interpreted as the odds that the best model is a better fit than the given model. For instance, the model in Box 2 has a BF01 value of 2.064, meaning the best …
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It uses metaBMA: https://www.dwheck.de/software/metabma-bayesian-model-averaging-for-meta-analysis/ Cheers, E.J.
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Hi Max I'd consider group fixed in both scenarios. Cheers, E.J.
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I'll forward this to our experts Cheers, E.J.
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I'll forward this to our expert. Cheers, E.J.
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I'll forward this to our expert... E.J.
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At a minimum, this is a pretty uninformative error message. Could you post this as a bug report on our GitHub page? (for details see https://jasp-stats.org/2018/03/29/request-feature-report-bug-jasp/) Cheers, E.J.
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Hello Shane, You are ahead of the pack! The reason that you have not found anything is because we have not rolled out this functionality. I'll talk to the team about providing a version that contains the quality control tools that we have already de…
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Also, I recommend you update to 0.14.1 :-)
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Hi Yuqi, We've come across these kinds of discrepancies before. Usually the Bayesian results are consistent with what you'd get from applying a frequentist linear mixed model to the data (the Bayesian RM ANOVA is really a mixed model). Also, the mo…
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Hi Matteo, I would say that's a clear "no": the usual p-value is computed under a fixed-N sample plan, which is definitely not the one you intend to follow. What I would do instead is report the probability of obtaining misleading evidence…
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I'm sure we'll add this in the future, but it isn't implemented in JASP at the moment. Cheers, E.J.
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You can't, as far as I know. But I've added it to our to-do list! Cheers, E.J.
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Hmm that is strange. We've had something like this before, when the culprit was some innocent component of an R package. We'll look into this. As an aside, this topic is better suited for our GitHub page -- I'll forward this to our programmers for n…
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Hi DMcCool Sorry for the tardy response, this one slipped through the cracks. What do you mean when you say "restrict the columns"? A toy example would help. Cheers, E.J.
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Hi Allen, Strange. I'll ask one of the experts on the team about this. Cheers, E.J.
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Hi MIcheleS, Is your covariate the baseline score? If the covariate is not something you are interested in evaluating (but it is something you feel is important to include in the model) then you might just as well add it to the null model. The r sca…
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Hi maalicious, We hope to add more support for survey analyses in the future. As far as the analysis goes, what analysis is meaningful depends on what question you seek to answer. Cheers, E.J.
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Interesting question, I'll forward this to our expert. One would hope that a little more information would indeed be available. Cheers, E.J.
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Hi Bianca, I'll tell our network expert to add some information to the help file (which pops up when you press the blue "i" icon). The help file does refer to paper like this one: Epskamp, S., Cramer, A. O., Waldorp, L. J., Schmittmann, V.…
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Hi Tabea, It may be that you are using the default correction for multiplicity, and this does not assign equal prior probability to each of the models. In the table, the "best" model is the one with the highest posterior plausibility, and …
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Hi Jorge, I'll forward this to our experts. Cheers, E.J.
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Hi RadHead5, Hmm I will ask some other team members for their input. We do have linear mixed model functionality in JASP, but that does not produce Bayes factors at the moment. However, the Bayesian AN(C)OVA as implemented through the BayesFactor pa…