[R-sig-ME] Convergence issues with nlme:lme
Ben Bolker
bbo|ker @end|ng |rom gm@||@com
Mon Oct 21 17:50:57 CEST 2024
You don't have the model object, since R threw an error.
If you run
model <- lme(y ~ x, random = ~ 1 + x | group, data = data, control =
lmeControl(returnObject = TRUE))
you will get an object returned. However, I don't see anything in the
returned object that stores warning information.
In these cases you need to set up some machinery to capture and store
errors and warnings, et.c. from
https://github.com/lme4/lme4/blob/master/R/error_factory.R
mylme <- lme4:::factory(lme)
model2 <- mylme(y ~ x, random = ~ 1 + x | group, data = data, control =
lmeControl(returnObject = TRUE))
attr(model2, "factory-warning")
## [1] "nlminb problem, convergence error code = 1\n message =
iteration limit reached without convergence (10)"
And now without setting returnObject = TRUE ...
model3 <- mylme(y ~ x, random = ~ 1 + x | group, data = data)
model3
[1] "An error occurred in the factory function"
attr(,"factory-error")
[1] "nlminb problem, convergence error code = 1\n message = iteration
limit reached without convergence (10)"
On 10/21/24 11:40, Robert Long wrote:
> Dear list
>
> Having tried to fit a mixed effects model with nlme:lme, and found
> convergence problems, how do we inspect the fitted model object to find out
> what is the problem?
>
> Reproducible example:
>
>> set.seed(3)
>> data <- data.frame(y = rnorm(100), x = rnorm(100), group = rep(1:10, each
> = 10))
>>
>> model <- lme(y ~ x, random = ~ 1 + x | group, data = data)
> Error in lme.formula(y ~ x, random = ~1 + x | group, data = data) :
> nlminb problem, convergence error code = 1
> message = iteration limit reached without convergence (10)
>
> Now that we have the model object, how do we interrogate it to find out
> what went wrong? I need to do this in code, so I won't have access to the
> Error message raised when the model was first fitted (unless there is a
> magical way to get at the error (which I haven't yet found)
>
> Thanks !
>
> [[alternative HTML version deleted]]
>
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> https://stat.ethz.ch/mailman/listinfo/r-sig-mixed-models
--
Dr. Benjamin Bolker
Professor, Mathematics & Statistics and Biology, McMaster University
Director, School of Computational Science and Engineering
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