-----Original Message-----
From: R-sig-mixed-models [mailto:r-sig-mixed-models-bounces at r-project.org]
On Behalf Of Sijia Huang
Sent: Thursday, 14 May, 2020 4:58
To: Vincent Dorie
Cc: r-sig-mixed-models
Subject: Re: [R-sig-ME] blme optimizer warnings
Thank you so much, Vincent!
On Wed, May 13, 2020 at 7:54 PM Vincent Dorie <vdorie at gmail.com> wrote:
A couple of guesses here in addition to what Ben mentioned, but you
likely don't want a prior on the covariance of the random effects and
the weights should be on the scale of inverse variances. The following
replicates the numbers for the CCREM column from table 1:
blmer(g ~ 1 + (1 | Study) + (1 | Subscale) + (1 | Outcome:Study:Subscale),
data = meta, weights = Precision, control =
lmerControl(optimizer = "bobyqa"),
resid.prior = point(1), cov.prior = NULL)
On Wed, May 13, 2020 at 10:04 PM Sijia Huang <huangsjcc at gmail.com> wrote:
Here it is. Thanks!
A demonstration and evaluation of the use of cross-classified
random-effects models for meta-analysis