plyr, maptools, graphics, stats, raster, rgeos, ncdf4, maps,
mapdata, grDevices, oceanmap, sp, methods, PBSmapping

plyr, maptools, graphics, stats, raster, readr, rgeos, ncdf4,
pracma, maps, mapdata, grDevices, oceanmap, sp, methods,
PBSmapping

plyr, maptools, graphics, stats, raster, readr, rgeos, ncdf4,
pracma, dygraphs, xts, maps, mapdata, grDevices, oceanmap, sp,
methods, PBSmapping

Discrete Choice (Binary, Poisson and Ordered) Models with Random
Parameters
Estimate binary, ordered and count models with random parameters.

Estimate Binary (Probit and Logit), Ordered (Probit and Logit) and
Poisson models with random parameters using Simulated Maximum Likelihood.
Rchoice handles cross-sectional and panel databases.
car, lmtest, memisc, pglm, sandwich, knitr

An implementation of simulated maximum likelihood method for the
estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and
Poisson models with random parameters for cross-sectional and longitudinal
data.

person("Mauricio", "Sarrias", role = c("aut", "cre"), email = "msarrias86@gmail.com", comment = c(ORCID = "0000-0001-5932-4817"))
An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data as presented in Sarrias (2016) <doi:10.18637/jss.v074.i10>.
sandwich, miscTools, numDeriv, memisc, msm, plm, plotrix,
stats, graphics
Mauricio Sarrias [aut, cre] (<https://orcid.org/0000-0001-5932-4817>)

c(person("Mauricio", "Sarrias", role = c("aut", "cre"), email = "msarrias86@gmail.com", comment = c(ORCID = "0000-0001-5932-4817")), person("Yves", "Croissant", role = "ctb"), person("Achim", "Zeileis", role = "ctb"))
Mauricio Sarrias [aut, cre] (<https://orcid.org/0000-0001-5932-4817>),
Yves Croissant [ctb],
Achim Zeileis [ctb]

An implementation of simulated maximum likelihood method for the estimation of Binary (Probit and Logit), Ordered (Probit and Logit) and Poisson models with random parameters for cross-sectional and longitudinal data.