Displaying 5 results from an estimated 5 matches for "polmeth".
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2008 Oct 06
0
New verision 0.95 of package 'memisc' released to CRAN
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Political Methodology E-Mail List
Editors: Melanie Goodrich, <melaniegoodrich at nyu.edu>
Delia Bailey, <dbailey at wustl.edu>
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2008 Oct 06
0
New verision 0.95 of package 'memisc' released to CRAN
...************************************************
Political Methodology E-Mail List
Editors: Melanie Goodrich, <melaniegoodrich at nyu.edu>
Delia Bailey, <dbailey at wustl.edu>
**********************************************************
Send messages to polmeth at artsci.wustl.edu
To join the list, cancel your subscription, or modify
your subscription settings visit:
http://polmeth.wustl.edu/polmeth.php
_______________________________________________
R-packages mailing list
R-packages at r-project.org
https://stat.ethz.ch/mailman/...
2003 Oct 28
1
presentation of software
Hello,
I am considering giving a talk at my university
on R to (mostly) academics. There wouldn't be any
statisticians, but professors from mathematics,
psychology, economics, etc. who do use some statistical
software in teaching and/or research, and have an acquaintance
with procedures and graphics used in statistics. Has anyone
given such a talk to a similar audience? If so, I would be
2012 Apr 12
0
Extended beta-binomial model in R
...problem of
negative intracluster correlation in the case of a binomial response
variable (also known as under-dispersion). Prentice (1986)
(http://www.jstor.org/stable/2289219) developed an extension of the
beta-binomial model which allowed for this negative correlation.
Palmquist (1997)(http://www.polmeth.wustl.edu/media/Paper/palmq97.pdf)
developed a module (ebb) for Stata which implemented this solution,
but this has since been discontinued and is no longer available on the
web.
Is there a package in R which implements the extended beta-binomial
model or otherwise allows for negative intracluster...
2002 Aug 04
5
Pseudo R^2 for logit - really naive question
I am using GLM to calculate logit models based on cross-sectional data. I
am now down to the hard work of making the results intelligible to very
average readers. Is there any way to calculate a psuedo analoque to the R^2
in standard linear regression for use as a purely descriptive statistic of
goodness of fit? Most of the readers of my report will be vaguely familiar
and more comfortable with