Package: rSQM
Type: Package
Title: Statistical Downscaling Toolkit for Climate Change Scenario
        using Non Parametric Quantile Mapping
Version: 1.3.14
Date: 2018-01-10
Authors@R: c(person("Jaepil Cho", role="aut", email="jpcho89@gmail"),
			       person("Wonil Cho", role=c("aut", "cre"), email="climate.service@apcc21.org"),
			       person("Imgook Jung", role="aut", email="igjung@apcc21.org"))
Author: Jaepil Cho [aut],
  Wonil Cho [aut, cre],
  Imgook Jung [aut]
Maintainer: Wonil Cho <climate.service@apcc21.org>
Description: Conducts statistical downscaling of daily CMIP5 (Coupled Model Intercomparison Project 5) climate change scenario data at a station level using empirical quantile mapping method by Jaepil Cho et al. (2016) <doi:10.1002/ird.2035>.
License: GPL (>= 2)
LazyData: TRUE
RoxygenNote: 6.0.1
Depends: R (>= 3.3.0)
Imports: ncdf4, zoo, stringr, EcoHydRology, dplyr, gsubfn, yaml, mise,
        reshape2, qmap, ggplot2
Suggests: knitr, rmarkdown, testthat
NeedsCompilation: no
VignetteBuilder: knitr
Packaged: 2018-01-12 00:21:15 UTC; jowonil
Repository: CRAN
Date/Publication: 2018-01-12 04:08:41 UTC
Built: R 3.4.4; ; 2019-04-25 21:47:42 UTC; windows
