blavaan

Lang, Try adding the argument meanstructure = TRUE to your bcfa() command. Some models only require a

This is not how I would recommend to use these models. But, if you want to focus on it, yes, the BIC

Hello Ed, Thank you for your quick reply. It WORKs with the lastest version. Thanks a lot!! Best

HeeDong This is larger issue, how to evaluate model fit Multilevel BSEM? For now, we have develop

Hi Curtis, Ed, and the group, I'll echo Ed in saying this looks to me to be an instance of

blavaan 0.5-6 is now on CRAN, including bug fixes and other small improvements. Ed

Hongwei 1. Is it correct to say that, by default, in blavaan, the first group is the reference group

Thank you so much Ed, it works perfectly now! On Friday, August 16, 2024 at 10:39:58 PM UTC-4 Ed

Yes, with the same argument as lavaan, it is ordered=T On Tuesday, July 16, 2024 at 10:16:41 AM UTC+2

Special Issue on Data Analysis for Behavioral Medicine A special issue of the Journal of Behavioral

Hi Mauricio, Thanks so much, this is really helpful! Cheers, Pedro Em quarta-feira, 26 de junho de

Hi! yes, it appears that the error occurs, because there are no latent variables in the model, which

Thanks for the message. For target = 'vb', the bcontrol thing seems to work for at least some

I think it also goes the issue of interpretability. The log(variables) are less skew, but the model

can you show the full code, models, and output that gets you this error? It seems there are some

Hi Ed, Thank you very much. That worked great. Appreciate your help. Best, Gabe On Wed, May 22, 2024

Hi You could look at ways to modify the model like using modification indices https://ecmerkle.github

Thank you so much!! On Mon, May 20, 2024 at 3:24 PM Ed Merkle <ecme...@gmail.com> wrote:

Just following up on this thread: there was indeed a bug that was fixed on github: https://github.com

Thanks again for the report. There was a bug that should now be fixed on github. Instructions for

blavaan 0.5-4 is now on CRAN, including bug fixes and a sampleData() convenience function for

DeAnne, instead of specifying your priors as a list(), use the dpriors() command (just replace "

The notes about "variance fixed to .001" should not be a problem, so long as the variance

Hi all Giada wrote to my in private as she didnt want to share that much details on the data and

Of note, the bcfa for configural invariance for the same model worked just fine I think (no error

Nikola, Those messages seem to indicate that the model didn't converge, so the results are not to

Hi Ed, Thank you for your message. Yes, I have some ordered variables, but the issue has remained in

Johnathan, This should be ok for most things you would want to do. Basically, you have freed some

I would recommend focusing on rstan for now. Once that is working, I am guessing that blavaan will

blavaan 0.5-3 is now on CRAN, including bug fixes and some internal changes to the way that model