c(
person("Sebastian", "Kreutzer", role = c("aut", "trl", "cre", "dtc"),
email = "sebastian.kreutzer@uni-heidelberg.de",
comment = c(ORCID = "0000-0002-0734-2199")),
person("Roger P.", "Nathan", role = c("aut", "cph")),
person("Barbara", "Mauz", role = c("aut", "cph"), comment = c(ORCID = "0000-0003-1504-333X")))

This packages provides a direct interface (without the use
of Java) to the most basic functionality of Apache Cassanda
such as login, updates and queries.

This packages provides a direct interface (without the
use of Java) to the most basic functionality of Apache
Cassanda such as login, updates and queries.

Locating Distributional Changes in Highly Dependent Time Series
c(person(given = "Lukas",
family = "Zierahn",
role = c("cre", "aut"),
email = "lukas@kappa-mm.de"),
person(given = "Azadeh",
family = "Khaleghi",
role = "aut",
email = "a.khaleghi@lancaster.ac.uk"))
Provides algorithms to locate multiple
distributional change-points in piecewise stationary time series. The
algorithms are provably consistent, even in the presence of long-range
dependencies. Knowledge of the number of change-points is not
required. The code is written in Go and interfaced with R.
Lukas Zierahn [cre, aut],
Azadeh Khaleghi [aut]

Post-Processing of the Markov Chain Simulated by ChronoModel
Provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated by ChronoModel (see <http://www.chronomodel.fr> for more information).  ChronoModel is a friendly software to construct a chronological model in a Bayesian framework.  Its output is  a sampled Markov chain from the posterior distribution of dates component  the chronology.
hdrcde, stats, utils, graphics, grDevices

Post-Processing of the Markov Chain Simulated by ChronoModel or
Oxcal
Provides a list of functions for the statistical analysis and the post-processing of the Markov Chains simulated by ChronoModel (see <http://www.chronomodel.fr> for more information).  ChronoModel is a friendly software to construct a chronological model in a Bayesian framework.  Its output is  a sampled Markov chain from the posterior distribution of dates component  the chronology. The functions can also be applied  to the  analyse of mcmc output generated by Oxcal software.
stats, utils, graphics, grDevices, hdrcde