Package: RprobitB
Type: Package
Title: Bayes Estimation of Latent Class Mixed Multinomial Probit Models
Version: 0.1.1
Date: 2021-05-11
Authors@R: c(
    person("Lennart", "Oelschl\u00e4ger", email = "lennart.oelschlaeger@uni-bielefeld.de", role = c("aut", "cre")),
    person("Dietmar", "Bauer", email = "dietmar.bauer@uni-bielefeld.de", role = "aut"),
    person("Sebastian", "B\u00fcscher", email = "sebastian.buescher@uni-bielefeld.de", role = "ctb"),
    person("Manuel", "Batram", email = "manuel.batram@uni-bielefeld.de", role = "ctb"))
Description: 
    Fitting latent class mixed multinomial probit (LCMMNP) models to simulated or empirical data. 
    Estimation takes place in a Bayesian framework using a Gibbs sampler. 
    The number of latent classes can be updated within the algorithm on a weight-based strategy. 
    For a reference on the method see Oelschl\"ager and Bauer (2021) <https://trid.trb.org/view/1759753>.
License: GPL-3
Encoding: UTF-8
Imports: Rcpp, mvtnorm, viridis
LinkingTo: Rcpp, RcppArmadillo
Suggests: knitr, rmarkdown
Depends: R (>= 3.5.0)
RoxygenNote: 7.1.1
VignetteBuilder: knitr
NeedsCompilation: yes
Packaged: 2021-05-25 07:52:27 UTC; Lennart
Author: Lennart Oelschläger [aut, cre],
  Dietmar Bauer [aut],
  Sebastian Büscher [ctb],
  Manuel Batram [ctb]
Maintainer: Lennart Oelschläger <lennart.oelschlaeger@uni-bielefeld.de>
Repository: CRAN
Date/Publication: 2021-05-25 08:10:09 UTC
