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

[Milani Chaloupka]

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
> 
>