infrastructure. At the moment Rasch mixture models with
different parametrizations of the score distribution (saturated
vs. mean/variance specification) and Bradley-Terry mixture
models are implemented. Both mixture models can be estimated
with or without concomitant variables. See vignette("raschmix",
package = "psychomix") for details on the Rasch mixture models.
Imports: graphics, stats, lattice, modeltools

Depends: R (>= 2.10.0), graphics, stats, methods, Formula (>= 1.1-0),

Authors@R: c(person(given = "Hannah", family = "Frick", role = c("aut", "cre"), email = "Hannah.Frick@uibk.ac.at"),
person(given = "Carolin", family = "Strobl", role = "aut", email = "Carolin.Strobl@psychologie.uzh.ch"),
Description: Psychometric mixture models based on flexmix infrastructure. At the moment Rasch mixture models
with different parametrizations of the score distribution (saturated vs. mean/variance specification)
and Bradley-Terry mixture models are implemented. Both mixture models can be estimated with or without
concomitant variables. See vignette("raschmix", package = "psychomix") for details on the Rasch mixture
Imports: graphics, methods, stats, lattice, Formula (>= 1.1-0),
Suggests: effects, lmtest, mRm, nnet, numDeriv

Authors@R: c(person(given = "Hannah", family = "Frick", role = c("aut", "cre"), email = "h.frick@ucl.ac.uk"),
Description: Psychometric mixture models based on 'flexmix' infrastructure. At the moment Rasch mixture models
with different parameterizations of the score distribution (saturated vs. mean/variance specification)
concomitant variables. See vignette('raschmix', package = 'psychomix') for details on the Rasch mixture

Authors@R: c(person(given = "Hannah", family = "Frick", role = c("aut", "cre"), email = "hannah.frick@gmail.com"),
person(given = "Florian", family = "Wickelmaier", role = "aut"),
with different parameterizations of the score distribution (saturated vs. mean/variance specification),
Bradley-Terry mixture models, and MPT mixture models are implemented. These mixture models can be estimated
with or without concomitant variables. See vignette('raschmix', package = 'psychomix') for details on the