[R-sig-ME] blmer(), minimum amount of prior to get a model to converge

[Simon Harmel]

Hello all,

This may be a simple/naive question, but I have a non-converging lmer()
model due to singularity.

I was wondering what is the minimum prior specification in `blmer()` to get
this singular model to converge?

library(lme4)
library(blme)
hsb <- read.csv('
https://raw.githubusercontent.com/rnorouzian/e/master/hsb.csv')m4 <- m1 <-
lmer(math ~ ses*sector + (ses | sch.id), data = hsb)

m2 <- blmer(math ~ ses*sector + (ses | sch.id), data = hsb, cov.prior = ???)

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