S scripts originally by Jan Beran <jan.beran@uni-konstanz.de>
Datasets via Brandon Whitcher <brandon@stat.washington.edu.
Toplevel R functions and much more by Martin Maechler.
Statistics for Long-Memory Processes (Jan Beran) -- Data and Functions
Datasets and Functionality from the textbook
Jan Beran (1994). Statistics for Long-Memory Processes; Chapman \& Hall.

S scripts originally by Jan Beran <jan.beran@uni-konstanz.de>
Datasets via Brandon Whitcher <brandon@stat.washington.edu>.
Toplevel R functions and much more by Martin Maechler.

Statistics for Long-Memory Processes (Jan Beran) -- Data and
Functions
Datasets and Functionality from the textbook Jan Beran
(1994). Statistics for Long-Memory Processes; Chapman \& Hall.

S scripts originally by Jan Beran <jan.beran@uni-konstanz.de>;
Datasets via Brandon Whitcher <brandon@stat.washington.edu>.
Toplevel R functions and much more by Martin Maechler.
Datasets and Functionality from the textbook Jan Beran
(1994). Statistics for Long-Memory Processes; Chapman & Hall.

Statistics for Long-Memory Processes (Book Jan Beran), and
Related Functionality
Datasets and Functionality from
'Jan Beran' (1994). Statistics for Long-Memory Processes; Chapman & Hall.
Estimation of Hurst (and more) parameters for fractional Gaussian noise,
'fARIMA' and 'FEXP' models.

Longitudinal Consensus Clustering with 'flexmix'
c(person(given = "Jonas",
family = "Hagenberg",
role = c("aut", "cre"),
email = "jonas_hagenberg@psych.mpg.de",
comment = c(ORCID = "0000-0002-1849-1106")),
person(given = "Matt",
family = "Wilkerson",
role = c("aut", "cph")),
person(given = "Peter",
family = "Waltman",
role = c("aut", "cph")),
person(given = "Max Planck Institute of Psychiatry",
role = "cph"))
An adaption of the consensus clustering approach from
'ConsensusClusterPlus' for longitudinal data. The longitudinal data is
clustered with flexible mixture models from 'flexmix', while the consensus
matrices are hierarchically clustered as in 'ConsensusClusterPlus'. By using
the flexibility from 'flexmix' and 'FactoMineR', one can use mixed data
types for the clustering.
checkmate, ConsensusClusterPlus, graphics, grDevices, flexmix,
StatMatch, stats, utils
testthat (>= 3.0.0), knitr, rmarkdown, dplyr, tidyr, ggplot2,
ggalluvial, FactoMineR, factoextra, lme4, purrr
Jonas Hagenberg [aut, cre] (<https://orcid.org/0000-0002-1849-1106>),
Matt Wilkerson [aut, cph],
Peter Waltman [aut, cph],
Max Planck Institute of Psychiatry [cph]