[R] Multinomial glm with nested and random Effects

Hi, I'd like to do a multinomial glm with nested and random Effects The "multinom" function from (nnet) give me this: > multinom(mc$c ~ (1|mc$date)+mc$lma + mc$poid+(mc$pop) +mc$male %in% > mc$pop,family="multinomial" ) # weights: 60 (44 variable)

[R] mlogit

5.1 322322 322322 322 5.2 558558 558558 558 5.4 217217 217217 217 5.5 217217 217217 217 Date: Fri, 5 Feb 2010 05:36:12 -0800 Subject: Re: [R] mlogit From: djmu...@gmail.com To: hug...@hotmail.fr Hi: On Fri, Feb 5, 2010 at 5:23 A

[R] mlogit

Hi, I'm using the function "mlogit" from the package "mlogit" in order to make a multinomial model, with random and nested effect*. But, currently, even a basic model as > mlogit(c ~ lma + poids , MC, shape = "long", alt.var = "N") Erreur dans drop(.Call("La_dgesv", a, as.matrix(b), tol, PACKAG