Spencer:
(warning: highly biased, personal opinions)
My $.02
Looking now at your output, I notice that Corr between
(Intercept) and trust.cz1 for the Random Effects commid is
1.000. This says that the structure of your data are not adequate to
allow you to distinguish between
You actually received two different warning messages. The first 8
warnings read, optim or nlminb returned message false convergence (8),
and the other 3 say, ... returned message singular convergence. The
function lmer uses a nonlinear optimizer (either optim or nlminb)
to minimize an
I use lmer to fit a mixed effect model.It give some warnings.what does this
warnings mean? and what should I do?
(fm2.mlm - lmer(qd ~ edu + jiankang + peixun +hunyin + cadcj + age + age2 +
sex + dangyuan + Comp.1 + Comp.2+trust.cz1 +(trust.cz1|commid), data =
individual,na.action =
