I am fitting a series of 70 lme models inside a for loop. At the end of the
for loop, I get two messages that warn of false convergence.
>1: FALSE CONVERGENCE. in: ms( ~ - logLik(lmeSt, lmePars),
>start = list(lmePars = c(coef(lmeSt))), control =
>list(rel.tolerance = msTol, ...
Is there any information stored inside the lme object that would tell me
which 2 of the 70 models failed to converge? If not, how can I quickly
identify these 2 models.
Steve Simon, ssimon@cmh.edu, Standard Disclaimer.
STATS - Steve's Attempt to Teach Statistics: http://www.cmh.edu/stats
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