rSQM

Statistical Downscaling Toolkit for Climate Change Scenario using Non Parametric Quantile Mapping

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>.

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Description file content

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
Author
Jaepil Cho [aut], Wonil Cho [aut, cre], Imgook Jung [aut]
Maintainer
Wonil Cho
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) .
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

install.packages('rSQM')

1.3.14

5 days ago

Wonil Cho

GPL (>= 2)

Depends on

R (>= 3.3.0)

Imports

ncdf4, zoo, stringr, EcoHydRology, dplyr, gsubfn, yaml, mise, reshape2, qmap, ggplot2

Suggests

knitr, rmarkdown, testthat

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