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2007 Feb 15
0
New package 'drm' for repeated categorical data analysis
...ximum
likelihood fitting for datasets with large cluster sizes. For an
application to a binary response with 12 repeated measurements, see the
help-file of function drm.
For more information, see:
http://www.helsinki.fi/~jtjokine/drm/
Bug reports, comments or suggestions are welcome.
best,
Jukka Jokinen
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R-packages at stat.math.ethz.ch
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2002 Feb 15
0
na.include and nlm warnings
...mization in some situations. Can anyone tell whether this could cause
problems?
This could be avoided with optim which doesn't print warnings in this case
but I have found that it takes, with all available methods, at least twice
as many iterations for some problems.
Thanks in advance,
Jukka Jokinen
-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-.-
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2007 Feb 15
0
New package 'drm' for repeated categorical data analysis
...ximum
likelihood fitting for datasets with large cluster sizes. For an
application to a binary response with 12 repeated measurements, see the
help-file of function drm.
For more information, see:
http://www.helsinki.fi/~jtjokine/drm/
Bug reports, comments or suggestions are welcome.
best,
Jukka Jokinen
_______________________________________________
R-packages mailing list
R-packages at stat.math.ethz.ch
https://stat.ethz.ch/mailman/listinfo/r-packages
2007 Sep 17
1
[LLVMdev] llvm 2.1prerelease compile fails (solaris)
Platform: SunOS 5.10 sun4u sparc
compiler: gcc version 4.2.1
Debug: No, Release
src=obj: No
configured with:
../llvm-2.1/configure --enable-optimized --enable-targets=ia64,sparc,x86
--prefix=/share/tmp/jyke/llvm-21
fails with following errors (gmake log attached)
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2006 Nov 10
3
Confidence interval for relative risk
The concrete problem is that I am refereeing
a paper where a confidence interval is
presented for the risk ratio and I do not find
it credible. I show below my attempts to
do this in R. The example is slightly changed
from the authors'.
I can obtain a confidence interval for
the odds ratio from fisher.test of
course
=== fisher.test example ===
> outcome <- matrix(c(500, 0, 500, 8),