[R-meta] convert rma.mv() output to data.frame

[Simon Harmel]

Hi Milani,

Much appreciated. Have you made or possibly worked with this package
before? Do you know if it works with rma.mv()?  I think this might be
of interest to a lot of us on this list.

Thanks,
Simon

On Wed, Oct 6, 2021 at 10:14 PM Milani Chaloupka <m.chaloupka using uq.edu.au> wrote:
>
> Simon
>
> Maybe try:
>
> ## also on CRAN
> remotes::install_github(“easystats/parameters”)
> parameters::model_parameters(“your rma.object”)
>
> Milani
>
> >
> > Message: 2
> > Date: Wed, 6 Oct 2021 16:43:26 -0500
> > From: Simon Harmel <sim.harmel using gmail.com>
> > To: "Viechtbauer, Wolfgang (SP)"
> >       <wolfgang.viechtbauer using maastrichtuniversity.nl>
> > Cc: R meta <r-sig-meta-analysis using r-project.org>
> > Subject: Re: [R-meta] convert rma.mv() output to data.frame
> >
> >
> > Dear Wolfgang,
> >
> > Many thanks for your reply. The linked post in your email provides a method
> > using 'capture.output()' in basr R but it only works with intercept-only
> > models no matter how large the random term is, it creates an appropriate
> > datafram to fit it in.
> >
> > I just wonder how to extend that to correlated random effects models?
> >
> > Why l want this? Because each time it takes me a lot of time to prepare
> > presentable tables out of rma.mv() models esp. after spending days figuring
> > out what model works well. At lease when it is a dataframe I can clean it
> > up. But right now, I should literally copy-paste for a good chunk of time.
> >
> > Many thanks,
> > Simon
> >
> >
> _______________________________________________
> R-sig-meta-analysis mailing list
> R-sig-meta-analysis using r-project.org
> https://stat.ethz.ch/mailman/listinfo/r-sig-meta-analysis