c(person("Mauricio", "Sarrias", role = c("aut", "cre"),
email = "msarrias86@gmail.com"),
person("Ricardo", "Daziano", role = "aut",
email = "daziano@cornell.edu"),
person("Yves", "Croissant", role = "ctb"))
An implementation of maximum simulated likelihood method for the
estimation of multinomial logit models with random coefficients.
Specifically, it allows estimating models with continuous heterogeneity
such as the mixed multinomial logit and the generalized multinomial logit.
It also allows estimating models with discrete heterogeneity such as the
latent class and the mixed-mixed multinomial logit model.
plotrix, msm, mlogit, truncnorm, stats, graphics, utils
Mauricio Sarrias [aut, cre],
Ricardo Daziano [aut],
Yves Croissant [ctb]

c(person("Mauricio", "Sarrias", role = c("aut", "cre"),
email = "msarrias86@gmail.com",
comment = c(ORCID = "0000-0001-5932-4817")),
person("Ricardo", "Daziano", role = "aut",
email = "daziano@cornell.edu"),
person("Yves", "Croissant", role = "ctb"))
An implementation of maximum simulated likelihood method for the
estimation of multinomial logit models with random coefficients as presented by Sarrias and Daziano (2017) <doi:10.18637/jss.v079.i02>.
Specifically, it allows estimating models with continuous heterogeneity
such as the mixed multinomial logit and the generalized multinomial logit.
It also allows estimating models with discrete heterogeneity such as the
latent class and the mixed-mixed multinomial logit model.
Mauricio Sarrias [aut, cre] (<https://orcid.org/0000-0001-5932-4817>),
Ricardo Daziano [aut],
Yves Croissant [ctb]

An implementation of maximum simulated likelihood method for the estimation of multinomial logit models with random coefficients. Specifically, it allows estimating models with continuous heterogeneity such as the mixed multinomial logit and the generalized multinomial logit. It also allows estimating models with discrete heterogeneity such as the latent class and the mixed-mixed multinomial logit model.

Various R programming tools for model fitting