Title: Multiple Automatic Forecast Selection
Description: Fits several forecast models available from the forecast package
and selects the best one according to an error metric. Its main function
Imports: fracdiff, tseries, timeDate, cmprsk, etm, forecast,
forecastHybrid, CombMSC, Epi, quadprog, colorspace, zoo, Rcpp,
gtable, scales, plyr, numDeriv, ggplot2, munsell, tidyr,

Title: Data Class and Tools for Handling Spatial-Temporal Data
Description: 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).
Imports: methods, sp, maptools, abind, ncdf4, reshape2

person("Markus", "Bonsch", role = "aut"),
person("Florian", "Humpenoeder", email = "humpenoeder@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("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"))
Description: 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
Suggests: testthat, knitr, rmarkdown, data.tree, units, udunits2, ncdf4