the Matching() package by Jasjeet Sekhon does propensity score matching in a
very user friendly way. (as you said you don't want to reinvent the wheel...)
just feed it with the fitted values from a glm model (fitted$myglmmodel).
afaik, you may additionally match on some covariates directly.
HTH
m
7 0 1 0 1
> 8 0 1 0 1
> 9 1 0 0 0
best regards
marc
> -Ursprüngliche Nachricht-
> Von: "Henrique Dallazuanna" <[EMAIL PROTECTED]>
> Gesendet: 02.09.08 18:33:53
> An: "Marc Flockerzi" <[EMAIL PROTECTED]>
> CC: r-help@r-project.org
dear all,
i'm just about to do some straightforward contingency tables using ftables (and
ctab() for percents).
the problem:
factor "a" are regions, factor "b" are subregions.
every region "a" consists of some subregions "b", but obviously not every
subregion "b" is part of every region "a".
i
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