Package: PRSim
Type: Package
Title: Stochastic Simulation of Streamflow Time Series using Phase
        Randomization
Version: 1.2-1
Date: 2020-01-10
Authors@R: c(person("Manuela", "Brunner", role = c("aut", "cre"),
             email = "manuela.i.brunner@gmail.com", 
             comment = c(ORCID = "0000-0001-8824-877X")), 
             person("Reinhard", "Furrer", role = c("aut"),  
             email = "reinhard.furrer@math.uzh.ch", 
             comment = c(ORCID = "0000-0002-6319-2332"))) 
Author: Manuela Brunner [aut, cre] (<https://orcid.org/0000-0001-8824-877X>),
  Reinhard Furrer [aut] (<https://orcid.org/0000-0002-6319-2332>)
Maintainer: Manuela Brunner <manuela.i.brunner@gmail.com>
Description: Provides a simulation framework to simulate streamflow time series with similar
  main characteristics as observed data. These characteristics include the distribution of daily 
  streamflow values and their temporal correlation as expressed by short- and long-range 
  dependence. The approach is based on the randomization of the phases of the Fourier 
  transform or the phases of the wavelet transform. The function prsim() is applicable to single site simulation and uses the Fourier transform. 
  The function prsim.wave() extends the approach to multiple sites and is based on the complex wavelet transform. We further use the flexible four-parameter Kappa distribution, which allows 
  for the extrapolation to yet unobserved low and high flows. Alternatively, the empirical or any other distribution can be used. A detailed description of 
  the simulation approach for single sites and an application example can be found 
  in <https://www.hydrol-earth-syst-sci-discuss.net/hess-2019-142/>.
URL: https://git.math.uzh.ch/reinhard.furrer/PRSim-devel
BugReports: https://git.math.uzh.ch/reinhard.furrer/PRSim-devel
License: GPL-3
Encoding: UTF-8
LazyData: true
Depends: R (>= 3.5.0), homtest, goftest, wmtsa
Suggests: lattice, ismev, evd, GB2
Imports: stats
NeedsCompilation: yes
Packaged: 2020-01-09 16:09:42 UTC; mbrunner
Repository: CRAN
Date/Publication: 2020-01-10 16:50:22 UTC
Built: R 3.5.3; x86_64-w64-mingw32; 2020-04-22 05:47:29 UTC; windows
Archs: i386, x64
