DESCRIPTION

Package: downscaleR
Depends:
    R(>= 3.1.0),
    transformeR(>= 1.1.0)
Imports:
    abind,
    utils,
    RCurl,
    fields,
    MASS,
    evd,
    deepnet,
    parallel,
    glmnet,
    grDevices,
    graphics,
    stats,
    magrittr,
    sp,
    gridGraphics,
    gridExtra
Suggests:
    loadeR,
    loadeR.ECOMS,
    visualizeR,
    knitr,
    rmarkdown
Type: Package
Title: An R package for bias correction and statistical downscaling
Version: 3.0.0
Date: 2017-09-28
Authors@R: as.person(c(
    "Santander Meteorology Group <http://meteo.unican.es> [cph]",
    "Joaquín Bedia <bediaj@unican.es> [aut, cre]",
    "Jonas Bhend <Jonas.Bhend@meteoswiss.ch> [ctb]",
    "Matteo De Felice <matteo.defelice@enea.it> [ctb]",
    "Jesus Fernández <fernandej@unican.es> [ctb]",
    "Maria Dolores Frías <friasmd@unican.es> [ctb]",
    "José Manuel Gutiérrez <gutierjm@unican.es> [aut]",
    "Sixto Herrera <sixto@predictia.es> [aut]",
    "Maialen Iturbide <miturbide@ifca.unican.es> [aut]",
    "Rodrigo Manzanas <rmanzanas@ifca.unican.es> [aut]",
    "Jorge B. Medina <bmedina@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
Encoding: UTF-8
Description: Tools for climate data calibration (bias correction, qq-mapping...) and perfect-prog downscaling, as part of the climate4R bundle (see e.g. Cofiño et al 2017 <doi:10.1016/j.cliser.2017.07.001>). Focused on daily data, downscaleR is conceived for dealing also with seasonal forecast ensemble predictions.
License: GPL (>= 3)
LazyData: true
RoxygenNote: 6.0.1
VignetteBuilder: knitr