[R-meta] Question on: models results extracted to tables by a function

Hello Reza,
Thank you very much for your clear and concise answer.
I also appreciate the guidance and advice you provided.
I will go over the information and link you mentioned.
Indeed will be of great help.
Thank you again.
Kind regards,
Gabriel


On Fri, Jun 30, 2023 at 9:34?PM Reza Norouzian <rnorouzian at gmail.com>
wrote:

Dear Gabriel,

In short, no such function currently exists in metafor, partly
because there is quite a bit of flexibility in models fit by rma.mv.

By contrast, standard random-effects models, like the one you're showing,
have far less flexibility in their specifications leading to a much more
uniform output. Given this uniformity, metafor offers the reporter.rma.uni()
function which generates essentially a report-type output that you can edit
and use for publication purposes.

A question similar to yours regarding rma.mv recently came up on the
list (
https://stat.ethz.ch/pipermail/r-sig-meta-analysis/2023-June/004737.html).
You can pretty much reconstruct your tables (except the last one) using the
quantities discussed there.

Regarding your last table, you can use: t(fitstats(your_model)). However,
if you necessarily want the log-likelihood from both the max. likelihood
and restricted max. likelihood methods for the same model, then, you'll
need to fit your model twice, each time setting the "method=" argument in
your rma.mv call to one of those two methods.

You can also search the metafor's online resources or the listserv's
archives for any other quantities (e.g., I^2) that you like to form your
desired table(s).

Kind regards,
Reza



On Fri, Jun 30, 2023 at 9:21?AM Gabriel Cotlier via R-sig-meta-analysis <
r-sig-meta-analysis at r-project.org> wrote:

Hello all,

I would like to ask if there is a  function or way that enables to
obtain from R the model results for objects class "rma.mv"  as fancy
table  such as like that obtained from Jamovi -MAJOR ourpout  for
objects class "rma":

[image: image.png]

[image: image.png]


As well as function that enable to automatically perform the comparison
between Maximum-likelihood and restricted Maximum-likelihood :

[image: image.png]

Thanks a lot.
Kid regards,
Gabriel