there are at least two alternatives
1) package dglm for Double generalized linear models
or probably better
2)package gamlss for Generalized Additive Models for Location Scale and
Shape. Here you can use alternative, sometimes more appropriate,
families and also you can include additive (nonparametric) terms in the
linear predictors
Hope this help,
you
vito
Il 26/04/2012 10.00, Chris Rh ha scritto:
Hello,
I am currently working with the betareg package, which allows the fitting of a
variable dispersion beta regression model (Simas et al. 2010, Computational
Statistics& Data Analysis). I was wondering whether there is any package in R
that allows me to fit variable dispersion parameters in the standard logistic
regression model, that is to make the dispersion parameter contingent upon some
covariates. I know that glm() from the base package allows the fitting of a common
dispersion parameter via selection of the quasibinomial family, but glm() seems not
to be able to individualize the dispersion parameter. Every hint is welcomed!
Chris
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--
====================================
Vito M.R. Muggeo
Dip.to Sc Statist e Matem `Vianelli'
Università di Palermo
viale delle Scienze, edificio 13
90128 Palermo - ITALY
tel: 091 23895240
fax: 091 485726
http://dssm.unipa.it/vmuggeo
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