-----Original Message-----
From: R-sig-meta-analysis <r-sig-meta-analysis-bounces at r-project.org> On Behalf
Of Richter Dirk via R-sig-meta-analysis
Sent: Wednesday, April 10, 2024 12:04
To: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-
project.org>
Cc: Richter Dirk <dirk.richter at bfh.ch>
Subject: Re: [R-meta] GLMM issue with metaprop / meta package
Wonderful, thanks, Wolfgang.
Re-installing Matrix and lme4 solved the problem.
Best wishes,
Dirk
-----Urspr?ngliche Nachricht-----
Von: Viechtbauer, Wolfgang (NP) <wolfgang.viechtbauer at maastrichtuniversity.nl>
Gesendet: Mittwoch, 10. April 2024 10:46
An: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-
project.org>
Cc: Richter Dirk <dirk.richter at bfh.ch>
Betreff: RE: [R-meta] GLMM issue with metaprop / meta package
Dirk has kindly shared the data with me off-list. With:
m1 <- metaprop(event, n, studlab=paste(author, pubyear), data=metadata,
method = "GLMM", control = list(verbose = TRUE))
Dirk is getting the error:
# Error in initializePtr() :
# function 'chm_factor_ldetL2' not provided by package 'Matrix'
while the code runs just fine for me. Some searching leads to:
https://github.com/lme4/lme4/issues/763
https://stackoverflow.com/q/77481539/2615367
which indicates that this issue has nothing to do with meta/metafor or this
specific dataset but that the error arises due an update in the Matrix package.
I would start with reinstalling the Matrix package and then lme4:
install.packages("Matrix")
install.packages("lme4")
To be on the safe side, restart R before and after doing so. One could also try
installing lme4 from source as described in the links above, but this requires
having everything set up for doing so on your computer and this shouldn't really
be necessary. On a Windows machine that I just tried, everything works fine with
metaprop() when everything is up-to-date.
Best,
Wolfgang
-----Original Message-----
From: R-sig-meta-analysis <r-sig-meta-analysis-bounces at r-project.org>
On Behalf Of Viechtbauer, Wolfgang (NP) via R-sig-meta-analysis
Sent: Tuesday, April 9, 2024 10:48
To: R Special Interest Group for Meta-Analysis <r-sig-meta-analysis at r-
project.org>
Cc: Viechtbauer, Wolfgang (NP)
<wolfgang.viechtbauer at maastrichtuniversity.nl>
Subject: Re: [R-meta] GLMM issue with metaprop / meta package
Hi Dirk,
If you could share the data, I can take a look at why rma.glmm()
struggles to fit the model.
Whether one can just use the inverse-variance method is impossible to
say without further details.
Best,
Wolfgang
-----Original Message-----
From: R-sig-meta-analysis
<r-sig-meta-analysis-bounces at r-project.org> On Behalf Of Richter
Dirk via R-sig-meta-analysis
Sent: Friday, April 5, 2024 18:22
To: r-sig-meta-analysis at r-project.org
Cc: Richter Dirk <dirk.richter at bfh.ch>
Subject: Re: [R-meta] GLMM issue with metaprop / meta package
Thanks, Guido and Michael. It's obviously an issue related to the
Matrix package. The verbose argument mentioned this error but did
not produce any results.
Do I understand it correctly that the Inverse method is sufficient
for a random effects model?
Thanks again,
Dirk
-----Urspr?ngliche Nachricht-----
Von: Dr. Guido Schwarzer <guido.schwarzer at uniklinik-freiburg.de>
Gesendet: Freitag, 5. April 2024 17:48
An: R Special Interest Group for Meta-Analysis
<r-sig-meta-analysis at r- project.org>
Cc: Richter Dirk <dirk.richter at bfh.ch>
Betreff: Re: [R-meta] GLMM issue with metaprop / meta package
Dear Dirk,
Recently, somebody asked the same question on GitHub
(https://github.com/guido-s/meta/issues/57).
I changed the development version of meta such that the results of
the common effect model are used as a fallback in metaprop() if the
GLMM estimation fails (I am not sure any more whether this is a
sensible approach. Any comments from the list are welcome on this.).
As Michael hinted, you can use verbose = TRUE to get more
information on the estimation process. However, this is an argument
of rma.glmm() from R package metafor called internally in metaprop() from R
The metaprop() call must look like the following:
metaprop(..., control = list(verbose = TRUE))
Best,
Guido