Displaying 4 results from an estimated 4 matches for "msme".
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2013 May 17
0
Heterogeneous negative binomial
I have seen several queries about parameterizing the negative binomial scale
parameter. This is called
the heterogeneous negative binomial. I have written a function called
"nbinomial" which is in the
msme package on CRAN. Type ?nbinomial to see the help file. The default
model is a negative binomial
for which the dispersion parameter is directly related to mu, which is how
Stata, SAS, SPSS, Limdep, and
so forth parameterize the negative binomial. The direct parameterization
make sense in that th...
2014 Jul 28
0
R-devel Digest, Vol 137, Issue 25
...user perspective. Negative binomial regression provides a somewhat extreme example of existing overlap between packages, with the scope that this creates for confusing users, especially as the notation is not consistent between these different implementations.
In addition to MASS::glm.nb(), note msme::negbinomial(), aod::negbin() and gamlss::gamlss(). The gamlss function fits two different types of NB model, either family = NBI (quadratic; var = mu(1 + sigma * mu)) as I think for all the functions above, or family=NBII (linear; var = mu(1 + sigma)). Also note the somewhat special purpose fun...
2015 Oct 05
3
authorship and citation
Dear R developers,
This is a rather peculiar question, but nevertheless I would still need an
answer for.
It is about an R package which I created (namely QCA), and from versions
1.0-0 to 1.1-4 I had a co-author.
The co-author recently withdrawn from the package development, but still
requires to be left in the authors list and be cited for the package in the
CITATION file.
Obviously, one could
2015 Oct 05
2
authorship and citation
...iences
Reader & Associate Professor in Applied Statistics Tel: (+61) 0403 138 955
School of Mathematics and Statistics Fax: +61-3-8344
4599
University of Melbourne, VIC 3010 Australia
Email: a.robinson at ms.unimelb.edu.au
Website: http://www.ms.unimelb.edu.au/~andrewpr
MSME: http://www.crcpress.com/product/isbn/9781439858028
FAwR: http://www.ms.unimelb.edu.au/~andrewpr/FAwR/
SPuR: http://www.ms.unimelb.edu.au/spuRs/
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