[R] applying dglm() to a binary outcome

Dear R-Users, I have a question about the dglm() function from the dglm Package (V 1.6.2). The dglm() function fits double-generalized linear models as described in Smyth, G. K. (1989). Generalized linear models with varying dispersion. J. R. Statist. Soc. B, 51, 47-60. I use

[R] variable dispersion in glm models

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