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BLRPM  

Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model
View on CRAN: Click here


Download and install BLRPM package within the R console
Install from CRAN:
install.packages("BLRPM")

Install from Github:
library("remotes")
install_github("cran/BLRPM")

Install by package version:
library("remotes")
install_version("BLRPM", "1.0")



Attach the package and use:
library("BLRPM")
Maintained by
Christoph Ritschel
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-06
Latest Update: 2017-10-06
Description:
Due to a limited availability of observed high-resolution precipitation records with adequate length, simulations with stochastic precipitation models are used to generate series for subsequent studies [e.g. Khaliq and Cunmae, 1996, , Vandenberghe et al., 2011, ]. This package contains an R implementation of the original Bartlett-Lewis rectangular pulse model (BLRPM), developed by Rodriguez-Iturbe et al. (1987) . It contains a function for simulating a precipitation time series based on storms and cells generated by the model with given or estimated model parameters. Additionally BLRPM parameters can be estimated from a given or simulated precipitation time series. The model simulations can be plotted in a three-layer plot including an overview of generated storms and cells by the model (which can also be plotted individually), a continuous step-function and a discrete precipitation time series at a chosen aggregation level.
How to cite:
Christoph Ritschel (2017). BLRPM: Stochastic Rainfall Generator Bartlett-Lewis Rectangular Pulse Model. R package version 1.0, https://cran.r-project.org/web/packages/BLRPM. Accessed 22 Dec. 2024.
Previous versions and publish date:
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Other R packages that BLRPM depends, imports, suggests or enhances
Complete documentation for BLRPM
Functions, R codes and Examples using the BLRPM R package
Some associated functions: BL.acc . BL.sim . BL.stepfun . BLRPM.OF . BLRPM.class . BLRPM.est . BLRPM.sim . Beta.fun . Delta.fun . TS.acc . TS.stats . plot.BLRPM . 
Some associated R codes: BLRPM.R .  Full BLRPM package functions and examples
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