Implementation of parametric and semiparametric mixture cure models based on existing R packages. See details of the models in Peng and Yu (2020) <ISBN: 9780367145576>.

Cluster High Dimensional Categorical Datasets
c(person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", role = c("aut", "cre")),
person("Christopher", "Yau", email="c.yau@bham.ac.uk", role="ths"))
Scalable Bayesian clustering of categorical datasets. The package implements a hierarchical Dirichlet
(Process) mixture  of multinomial distributions. It is thus a probabilistic latent class model (LCM) and can be used
to reduce the  dimensionality of hierarchical data and cluster individuals into latent classes. It can automatically
infer an appropriate number of latent classes or find k classes, as defined by the user.  The model is based on a
paper by Dunson and Xing (2009) <doi:10.1198/jasa.2009.tm08439>, but implements a scalable variational inference algorithm so that it is
applicable to large datasets.
testthat, tibble, purrr, dplyr, rmutil, pheatmap, mcclust,
ggplot2, tidyr, utils
Constantin Ahlmann-Eltze [aut, cre],
Christopher Yau [ths]

Scalable Bayesian clustering of categorical datasets. The package implements a hierarchical Dirichlet
(Process) mixture  of multinomial distributions. It is thus a probabilistic latent class model (LCM) and can be used
to reduce the  dimensionality of hierarchical data and cluster individuals into latent classes. It can automatically
infer an appropriate number of latent classes or find k classes, as defined by the user.  The model is based on a
paper by Dunson and Xing (2009) <doi:10.1198/jasa.2009.tm08439>, but implements a scalable variational inference algorithm so that it is
applicable to large datasets. It is described and tested in the accompanying paper by
Ahlmann-Eltze and Yau (2018) <doi:10.1109/DSAA.2018.00068>.

c(person("Constantin", "Ahlmann-Eltze", email = "artjom31415@googlemail.com", role = c("aut", "cre"),
comment = c(ORCID = "0000-0002-3762-068X")),
person("Christopher", "Yau", email="c.yau@bham.ac.uk", role="ths",
comment = c(ORCID = "0000-0001-7615-8523")))
Constantin Ahlmann-Eltze [aut, cre]
(<https://orcid.org/0000-0002-3762-068X>),
Christopher Yau [ths] (<https://orcid.org/0000-0001-7615-8523>)