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PRSim
View on CRAN: Click
here
Download and install PRSim package within the R console
Install from CRAN:
install.packages("PRSim")
Install from Github:
library("remotes")
install_github("cran/PRSim")
Install by package version:
library("remotes")
install_version("PRSim", "1.5")
Attach the package and use:
library("PRSim")
Maintained by
Manuela Brunner
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[Scholar Profile | Author Map]
All associated links for this package
10.32614/CRAN.package.PRSim . https://git.math.uzh.ch/reinhard.furrer/PRSim-devel/-/issues . https://git.math.uzh.ch/reinhard.furrer/PRSim-devel . PRSim results . PRSim.pdf . PRSim_1.5.tar.gz . PRSim_1.5.zip . PRSim_1.5.zip . PRSim_1.5.zip . PRSim_1.5.tgz . PRSim_1.5.tgz . PRSim_1.5.tgz . PRSim_1.5.tgz . PRSim_1.5.tgz . PRSim_1.5.tgz . PRSim archive . https://CRAN.R-project.org/package=PRSim .
First Published: 2019-03-29
Latest Update: 2023-06-27
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. The function prsim.weather() extends the approach to multiple variables for weather generation. 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 Brunner et al. (2019) .
A detailed description and evaluation of the wavelet-based multi-site approach can be found in Brunner and Gilleland (2020) .
A detailed description and evaluation of the multi-variable and multi-site weather generator can be found in Brunner et al. (2021) .
A detailed description and evaluation of the non-stationary streamflow generator can be found in Brunner and Gilleland (2024) .
How to cite:
Manuela Brunner (2019). PRSim: Stochastic Simulation of Streamflow Time Series using Phase Randomization. R package version 1.5, https://cran.r-project.org/web/packages/PRSim. Accessed 29 Mar. 2025.
Previous versions and publish date:
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Other R packages that PRSim depends,
imports, suggests or enhances
Complete documentation for PRSim
Functions, R codes and Examples using
the PRSim R package
Some associated functions: PRSim-package . fun_stoch_sim . fun_stoch_sim_wave . fun_stoch_sim_weather . runoff . runoff_multi_sites . simulations . simulations_multi_sites . weather_multi_sites . weather_sim_multi_sites .
Some associated R codes: F.GEV.R . F.kappa.R . Lmoments.R . fun_stoch_sim.R . fun_stoch_sim_wave.R . fun_stoch_sim_weather.R . invF.GEV.R . invF.kappa.R . ks_test.R . par.kappa.R . rand.kappa.R . Full PRSim package functions and examples
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