Hello,
I don't know if it is a good idea to include "nAGQ=5 orother points" in
the options script!
If you only use a unique random effect you can try to the AGQ method.
glmer(InInt~speciality+position+stkperyr+conf+age+years+risk+stroke_type+(1|pid),data=dord4mod,nAGQ=5,family=binomial,verbose=TRUE)
Best wishes,
Mart?
2012/11/13 ONKELINX, Thierry <Thierry.ONKELINX at inbo.be
<mailto:Thierry.ONKELINX at inbo.be>>
Dear Kevin,
I cannot give you answer on why this happens. You can try the lme4.0
package as a work around. It is an older version of lme4.
Best regards,
ir. Thierry Onkelinx
Instituut voor natuur- en bosonderzoek / Research Institute for
Nature and Forest
team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance
Kliniekstraat 25
1070 Anderlecht
Belgium
+ 32 2 525 02 51 <tel:%2B%2032%202%20525%2002%2051>
+ 32 54 43 61 85 <tel:%2B%2032%2054%2043%2061%2085>
Thierry.Onkelinx at inbo.be <mailto:Thierry.Onkelinx at inbo.be>
www.inbo.be <http://www.inbo.be>
To call in the statistician after the experiment is done may be no
more than asking him to perform a post-mortem examination: he may be
able to say what the experiment died of.
~ Sir Ronald Aylmer Fisher
The plural of anecdote is not data.
~ Roger Brinner
The combination of some data and an aching desire for an answer does
not ensure that a reasonable answer can be extracted from a given
body of data.
~ John Tukey
-----Oorspronkelijk bericht-----
Van: r-sig-mixed-models-bounces at r-project.org
<mailto:r-sig-mixed-models-bounces at r-project.org>
[mailto:r-sig-mixed-models-bounces at r-project.org
<mailto:r-sig-mixed-models-bounces at r-project.org>] Namens Kevin E.
Thorpe
Verzonden: dinsdag 13 november 2012 1:23
Aan: r-sig-mixed-models at r-project.org
<mailto:r-sig-mixed-models at r-project.org>
Onderwerp: [R-sig-ME] Error in glmer fit
Hello.
I attempted the following command and got the resultant error.
glmer(InInt~speciality+position+stkperyr+conf+age+years+risk+stroke_type+(1|pid),data=dord4mod,family=binomial,verbose=TRUE)
Error in pwrssUpdate(pp, resp, tolPwrss, GQmat, compDev, fac, verbose) :
PIRLS step failed
It seems to happen right off the bat. Any idea what the source may be?
I don't want to post the data in the open, but will send it
privately if requested. Here also is my sessionInfo()
R version 2.14.0 Patched (2011-11-29 r57769)
Platform: x86_64-unknown-linux-gnu (64-bit)
locale:
[1] LC_CTYPE=en_US LC_NUMERIC=C LC_TIME=en_US
[4] LC_COLLATE=C LC_MONETARY=en_US LC_MESSAGES=en_US
[7] LC_PAPER=C LC_NAME=C LC_ADDRESS=C
[10] LC_TELEPHONE=C LC_MEASUREMENT=en_US LC_IDENTIFICATION=C
attached base packages:
[1] grid tcltk splines stats graphics grDevices utils
[8] datasets methods base
other attached packages:
[1] lme4_0.999902345-0 Matrix_1.0-2 ResearchMethods_1.4
[4] ellipse_0.3-5 gplots_2.10.1 KernSmooth_2.23-7
[7] caTools_1.12 bitops_1.0-4.1 gdata_2.8.2
[10] gtools_2.6.2 irr_0.83 lpSolve_5.6.6
[13] lattice_0.20-0 rms_3.3-2 Hmisc_3.9-0
[16] survival_2.36-10
loaded via a namespace (and not attached):
[1] MASS_7.3-16 Rcpp_0.9.10 cluster_1.14.1 minqa_1.1.18
nlme_3.1-102
[6] tools_2.14.0