A Flexible Microarray Data Simulation Model
This function allows to generate two biological conditions
synthetic microarray dataset which has similar behavior to
those currently observed with common platforms. User provides a
subset of parameters.  Available default parameters settings
can be modified.

This function allows to generate two biological conditions synthetic
microarray dataset which has similar behavior to those currently
observed with common platforms. User provides a subset of parameters.
Available default parameters settings can be modified.

Fits several forecast models available from the forecast package
and selects the best one according to an error metric. Its main function
is select_forecast().
fracdiff, tseries, timeDate, cmprsk, etm, forecast,
forecastHybrid, CombMSC, Epi, quadprog, colorspace, zoo, Rcpp,
gtable, scales, plyr, numDeriv, ggplot2, munsell, tidyr,
ggseas, stats

fracdiff, tseries, timeDate, cmprsk, etm, forecast,
forecastHybrid, CombMSC, Epi, quadprog, colorspace, zoo, Rcpp,
gtable, scales, plyr, numDeriv, ggplot2, munsell, tidyr,
ggseas, stats, tictoc

Data Class and Tools for Handling Spatial-Temporal Data
Jan Philipp Dietrich,
Benjamin Bodirsky,
Misko Stevanovic,
Lavinia Baumstark,
Christoph Bertram,
Markus Bonsch,
Anastasis Giannousakis,
Florian Humpenoeder,
David Klein,
Ina Neher,
Michaja Pehl,
Anselm Schultes
Data class for increased interoperability working with spatial-temporal data together with corresponding functions and methods (conversions, basic calculations and basic data manipulation). The class distinguishes between spatial, temporal and other dimensions to facilitate the development and interoperability of tools build for it. Additional features are name-based addressing of data and internal consistency checks (e.g. checking for the right data order in calculations).
methods, sp, maptools, abind, ncdf4, reshape2

c(person("Jan Philipp", "Dietrich", email = "dietrich@pik-potsdam.de", role = c("aut","cre")),
person("Benjamin Leon", "Bodirsky", email = "bodirsky@pik-potsdam.de", role = "aut"),
person("Markus", "Bonsch", role = "aut"),
person("Florian", "Humpenoeder", email = "humpenoeder@pik-potsdam.de", role = "aut"),
person("Stephen", "Bi", role = "aut"),
person("Kristine", "Karstens", email = "karstens@pik-potsdam.de", role = "aut"),
person("Lavinia", "Baumstark", email = "lavinia@pik-potsdam.de", role = "ctb"),
person("Christoph", "Bertram", email = "bertram@pik-potsdam.de", role = "ctb"),
person("Anastasis", "Giannousakis", email = "giannou@pik-potsdam.de", role = "ctb"),
person("David", "Klein", email = "dklein@pik-potsdam.de", role = "ctb"),
person("Ina", "Neher", role = "ctb"),
person("Michaja", "Pehl", email = "pehl@pik-potsdam.de", role = "ctb"),
person("Anselm", "Schultes", role = "ctb"),
person("Miodrag", "Stevanovic", email = "miodrag@pik-potsdam.de", role = "ctb"),
person("Xiaoxi", "Wang", email = "wang@pik-potsdam.de", role = "ctb"))
Data class for increased interoperability working with spatial-
temporal data together with corresponding functions and methods (conversions,
basic calculations and basic data manipulation). The class distinguishes
between spatial, temporal and other dimensions to facilitate the development
and interoperability of tools build for it. Additional features are name-based
addressing of data and internal consistency checks (e.g. checking for the right
data order in calculations).
testthat, knitr, rmarkdown, data.tree, units, udunits2, ncdf4
Jan Philipp Dietrich [aut, cre],
Benjamin Leon Bodirsky [aut],
Markus Bonsch [aut],
Florian Humpenoeder [aut],
Stephen Bi [aut],
Kristine Karstens [aut],
Lavinia Baumstark [ctb],
Christoph Bertram [ctb],
Anastasis Giannousakis [ctb],
David Klein [ctb],
Ina Neher [ctb],
Michaja Pehl [ctb],
Anselm Schultes [ctb],
Miodrag Stevanovic [ctb],
Xiaoxi Wang [ctb]