Displaying 5 results from an estimated 5 matches for "kouro".
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mouro
2009 Apr 21
1
lenny-cran AMD64
...s has been very beneficial.
I have been looking in the last couple of days for AMD64 lenny backports
of the R 2.9.0 packages in lenny-cran. Will these appear in due course or
are there issues backporting to AMD64 (I have noticed the AMD64 backports
for etch are already in etch-cran)?
Thanks, Kouros
[[alternative HTML version deleted]]
2010 May 31
4
building rpy against lenny-cran
...nding the R version.
This command seems to work
$ R --version
R version 2.11.0 (2010-04-22)
Copyright (C) 2010 The R Foundation for Statistical Computing
ISBN 3-900051-07-0
I hope that this is an appropriate forum for seeking
help for building rpy against the lenny-cran R packages.
Sincerely,
Kouros
Kouros Owzar
Biostatistics and Bioinformatics
Duke University
kolmogorov:/tmp/rpy-1.0.3# debuild -us -uc
dpkg-buildpackage -rfakeroot -D -us -uc
dpkg-buildpackage: warning: using a gain-root-command while being root
dpkg-buildpackage: set CFLAGS to default value: -g -O2
dpkg-buildpackage: set...
2009 Apr 24
2
Thanks for the lenny-cran AMD64 ports
...mit.edu lenny/main Packages
100 /var/lib/dpkg/status
I had been under the assumption (this may reflect my rather limited
understanding of APT) that r-recommended from lenny-cran would
automatically pull the recommended packages (e.g., survival, boot, etc)
from lenny-cran.
Take care,
Kouros
2010 Jun 02
0
R-SIG-Debian Digest, Vol 58, Issue 3
...om: Johannes Ranke <jranke at uni-bremen.de>
> To: r-sig-debian at r-project.org
> Subject: Re: [R-sig-Debian] building rpy against lenny-cran
> Message-ID: <201006012107.34234.jranke at uni-bremen.de>
> Content-Type: Text/Plain; charset="iso-8859-1"
>
> Hi Kouros,
>
> mhm, did we go to Cedar Cliff together? Did we go to model UN together? In this
> case I remember you as both intelligent and ambitious :)
>
> I am doing fine, working in an commercial environment since almost two years,
> but trying to keep up good science as well as po...
2004 Apr 05
3
2 lme questions
Greetings,
1) Is there a nice way of extracting the variance estimates from an lme fit? They don't seem to be part of the lme object.
2) In a series of simulations, I am finding that with ML fitting one of my random effect variances is sometimes being estimated as essentially zero with massive CI instead of the finite value it should have, whilst using REML I get the expected value. I guess