[R-sig-ME] glmer and influence.me - complaining about nAGQ==0
j|ox @end|ng |rom mcm@@ter@c@
Sat Apr 24 21:52:43 CEST 2021
I believe I understand what's going on: influence.merMod() works by
updating the model -- it calls update() -- using the parameter estimates
for the fit to the full data as start-values. The idea is to decrease
the computation necessary for each re-fit.
It probably would have been better if I had made this an option, with
using the start-values as the default, but perhaps there's a work-around:
You may be able to fit your model without specifying nACQ by instead
specifying the estimates that you obtained as start-values. Then glmer()
may converge quickly. If it doesn't, that would, I suppose, indicate
some sort of ill-conditioning.
Ben might well have something to add.
I hope this helps,
John Fox, Professor Emeritus
Hamilton, Ontario, Canada
On 2021-04-24 2:29 p.m., Cátia Ferreira De Oliveira via
> Dear Professor Bolker,
> I am really sorry for bothering you but I have been quite stuck and have
> posted my question both on reddit and cross validated but nothing has come
> from it. Do you know if there is a good way of running dfbetas for glmer
> with a gamma distribution? The model runs without issues,
> lmer_log11 <- glmer(logRT ~ Probability*Block*Session*testing + (1 +
> Block * Probability * Session|Participant), data= Data, family =
> Gamma(link = "log"),
> nAGQ = 0)
> yet when I run the influence function I get this error:
> influentialcases <- influence(glmer_log11, "Participant")
> Error in glmer(formula = RT ~ Probability * Block * Session * testing + :
> should not specify both start$fixef and nAGQ==0
> I have tried to remove the "nAGQ==0" but the model is now taking 10 days to
> converge, a lot more than usual. Given this, I haven't been able to check
> if the influential cases will run normally.
> Do you have any idea why this is happening? I would very much
> appreciate your help!
> Thank you so much!
> Best wishes,
> [[alternative HTML version deleted]]
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