DESCRIPTION

Package: downscaleR
Depends:
    R(>= 3.1.0),
    transformeR(>= 0.0.9)
Imports:
    abind,
    utils,
    RCurl,
    fields,
    MASS,
    evd,
    parallel,
    grDevices,
    graphics,
    stats,
    magrittr
Suggests:
    loadeR,
    loadeR.ECOMS,
    visualizeR
Type: Package
Title: Bias correction and statistical downscaling methods
Version: 2.0.3
Date: 2017-06-02
Authors@R: as.person(c(
    "Santander Meteorology Group <http://meteo.unican.es> [ctb]",
    "Joaquin Bedia <bediaj@unican.es> [aut, cre]",
    "Jonas Bhend <Jonas.Bhend@meteoswiss.ch> [ctb]",
    "Matteo De Felice <matteo.defelice@enea.it> [ctb]",
    "Jesus Fernandez <fernandej@unican.es> [ctb]",
    "Maria Dolores Frias <friasmd@unican.es> [ctb]",
    "Jose Manuel Gutierrez <gutierjm@unican.es> [ctb]",
    "Sixto Herrera <sixto@predictia.es> [ctb]",
    "Maialen Iturbide <miturbide@ifca.unican.es> [aut]",
    "Rodrigo Manzanas <rmanzanas@ifca.unican.es> [ctb]",
    "Beata Szabo-Takacs <szabo.b@czechglobe.cz> [ctb]",
    "Max Tuni <max@predictia.es> [ctb]"))
BugReports: https://github.com/SantanderMetGroup/downscaleR/issues
URL: https://github.com/SantanderMetGroup/downscaleR/wiki
Description: Tools for climate data calibration (bias correction, qq-mapping...), and perfect-prog statistical downscaling.
      Focused on daily data, the package is conceived for dealing also with ensemble seasonal forecasts.
License: GPL (>= 3)
LazyData: true
RoxygenNote: 6.0.1