c(person("Bettina", "Gruen", role = c("aut", "cre"),
email = "Bettina.Gruen@jku.at",
comment = c(ORCID = "0000-0001-7265-4773")),
person("Friedrich", "Leisch", role = "aut",
comment = c(ORCID = "0000-0001-7278-1983")),
person("Deepayan", "Sarkar", role = "ctb",
comment = c(ORCID = "0000-0003-4107-1553")),
person("Frederic", "Mortier", role = "ctb"),
person("Nicolas", "Picard", role = "ctb",
comment = c(ORCID = "0000-0001-5548-9171")))
A general framework for finite mixtures of regression
models using the EM algorithm is implemented. The E-step and all
data handling are provided, while the M-step can be supplied by the
user to easily define new models. Existing drivers implement
mixtures of standard linear models, generalized linear models and
model-based clustering.
graphics, grid, grDevices, methods, modeltools (>= 0.2-16),
nnet, stats, stats4, utils
actuar, codetools, diptest, Ecdat, ellipse, gclus, glmnet,
lme4 (>= 1.1), MASS, mgcv (>= 1.8-0), mlbench, multcomp,
mvtnorm, SuppDists, survival
Bettina Gruen [aut, cre] (<https://orcid.org/0000-0001-7265-4773>),
Friedrich Leisch [aut] (<https://orcid.org/0000-0001-7278-1983>),
Deepayan Sarkar [ctb] (<https://orcid.org/0000-0003-4107-1553>),
Frederic Mortier [ctb],
Nicolas Picard [ctb] (<https://orcid.org/0000-0001-5548-9171>)

c(person("Bettina", "Gruen", role = c("aut", "cre"),
email = "Bettina.Gruen@R-project.org",
comment = c(ORCID = "0000-0001-7265-4773")),
person("Friedrich", "Leisch", role = "aut",
comment = c(ORCID = "0000-0001-7278-1983")),
person("Deepayan", "Sarkar", role = "ctb",
comment = c(ORCID = "0000-0003-4107-1553")),
person("Frederic", "Mortier", role = "ctb"),
person("Nicolas", "Picard", role = "ctb",
comment = c(ORCID = "0000-0001-5548-9171")))

grid, methods, modeltools (>= 0.2-16), parallel, stats, stats4

Finite Mixture Modeling of Generalized Nonlinear Models
c(person("Sanela", "Omerovic", role = c("aut", "cre"),
email = "omerovic@alumni.tugraz.at"),
person("Herwig", "Friedl", role = c("ths")))
The fitting of mixtures of generalized nonlinear models is implemented as an extension of the existing package 'flexmix'.
Sanela Omerovic [aut, cre],
Herwig Friedl [ths]