[R-sig-ME] convergence: nearly unidentifiable: very large eigenvalue-Rescale variables?
ph||||p@@|d@y @end|ng |rom mp|@n|
Thu Apr 18 13:41:47 CEST 2019
Um, how do you have a continuous predictor with levels? Do you mean that
there are only 28 different/unique observed values within that
Did you try applying scale() to duration? Or if duration is a response
time, maybe log()?
How many subjects do you have? How many words? Are they fully crossed?
On 18/4/19 1:14 pm, Souheyla GHEBGHOUB wrote:
> Hi everyone,
> I have a continuous predictor, duration, of 28 levels but with a large
> variance (from 0 to 400). This inhibits convergence. I used all techniques
> mentioned in this link lme4 convergence warnings: troubleshooting
> nothing worked : ( ?
> Here is my model:
> *mod <- glmer(response~duration + wfpre + sequence + verbalfreq + PoS +
> Characters + (1|Subject) + (1|Word), glmerControl(optimizer="bobyqa",
> optCtrl = list(maxfun = 2e5)), **data = df, family = 'binomial')*
> Could you please assist me with this?
> Thank you
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