lavaan 0.6-1 has been released on CRAN

[yros...@gmail.com]

Dear lavaan users,

Now that the windows binary has been built on CRAN, I am happy to announce that
lavaan 0.6-1 has (finally, after 15 months of work) arrived at CRAN. To install, simply to in R:

install.packages("lavaan", dependencies = TRUE)

and restart your R session.

The release notes can be found here: http://lavaan.ugent.be/history/dot6.html

The tutorial has a (short) new section on multilevel SEM: http://lavaan.ugent.be/tutorial/multilevel.html

Yves.

[Mark Seeto]

Thanks for all your work on lavaan, Yves. We are lucky to have such great software for free.

Mark

[Carlos Lemos]

Dear Professor Yves Rosseel,

Thank you very much for another update of lavaan.

We cannot thank you enough for making such a great package freely available, and for maintaining this incredible help and discussion forum.

Sincerely,

Carlos M. Lemos

--
You received this message because you are subscribed to the Google Groups "lavaan" group.
To unsubscribe from this group and stop receiving emails from it, send an email to lavaan+unsubscribe@googlegroups.com.
To post to this group, send email to lav...@googlegroups.com.
Visit this group at https://groups.google.com/group/lavaan.
For more options, visit https://groups.google.com/d/optout.

[Chao Xu]

Dr. Rosseel,

Thank you very much for your hard work. We are very fortunate to have you and your team in the latent variable modeling community.

With my best regards,

Chao

[Amonet]

Dear Yves, 

Not sure if I should reply to it here, or start a new thread. 

In the previous version of Lavaan, when I used estimator = 'MLR' and computed the goodness of fit indices (GOF) for my models, the robust CFI, TLI, etc. 

However, since using the newest version of Lavaan, it shows NA values in the output. When using estimator = 'MLM', the robust GOF indices are reported as before. However, as you know, this doesn't work together with missing = 'FIML' (or 'ML'). 

Are the NA values using MLR a known issue, or am I doing something wrong?

I am happy to provide my model syntax if that helps. 

Kind regards,

Amonet

[yros...@gmail.com]

The best way to report an issue at github:

https://github.com/yrosseel/lavaan/issues

but I'm glad you reported this. It is a (small) bug indeed. Fixed in dev 0.6-2.1254.

As a workaround in 0.6-1, you can use

estimator = "ML", se = "robust.huber.white", test = "yuan.bentler"

instead of estimator = "MLR"

just to get these 'robust' cfi/rmsea values.

Yves.