Package: RGENERATEPREC 1.3.2

RGENERATEPREC: Tools to Generate Daily-Precipitation Time Series

The method 'generate()' is extended for spatial multi-site stochastic generation of daily precipitation. It generates precipitation occurrence in several sites using logit regression (Generalized Linear Models) and the approach by D.S. Wilks (1998) <doi:10.1016/S0022-1694(98)00186-3> .

Authors:Emanuele Cordano [aut, cre, ctb]

RGENERATEPREC_1.3.2.tar.gz
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manual.pdf |manual.html✨
DESCRIPTION
card.svg |card.png
RGENERATEPREC/json (API)

# Install 'RGENERATEPREC' in R:

install.packages('RGENERATEPREC', repos = c('https://ecor.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/ecor/rgenerateprec/issues

Pkgdown/docs site:https://ecor.github.io

On CRAN:

4.95 score 4 stars 45 scripts 385 downloads 10 exports 37 dependencies

Last updated from:55ba5c88e2. Checks:9 OK. Indexed: yes.

Target	Result	Time
linux-devel-x86_64	OK	178
source / vignettes	OK	291
linux-release-x86_64	OK	173
macos-release-arm64	OK	149
macos-oldrel-arm64	OK	103
windows-devel	OK	124
windows-release	OK	115
windows-oldrel	OK	112
wasm-release	OK	164

Exports:CCGamma CCGammaToBlockmatrix dw.spell nwetdays omega omega_inv omega_root PrecipitationAmountModel PrecipitationOccurrenceModel PrecipitationOccurrenceMultiSiteModel

Dependencies:ADGofTest blockmatrix chron cli cluster colorspace copula cpp11 date generics glue gsl lattice lifecycle lmtest lubridate magrittr MASS Matrix mvtnorm nlme numDeriv pcaPP pspline RGENERATE rlang RMAWGEN sandwich stabledist stringi stringr strucchange timechange urca vars vctrs zoo

Stochastic Generation of Daily Precipitation Time Series

Rendered fromprecipitation_stochastic_generation_v8.Rmdusingknitr::rmarkdown

Last update: 2022-01-18
Started: 2022-01-13

Citation

Development and contributors

Readme and manuals

Help Manual

Help page	Topics
This function extends 'continuity_ratio' and adds the corresponding gaussian correlation matrix for no-precipitation occurrence.	CCGamma
This function returns a 'blockmatrix' object containing the gaussian cross-correlation matrices.	CCGammaToBlockmatrix
It calculates dry/wet spell duration.	dw.spell
Stochastic Generation of a 'PrecipitationOccurrenceModel' or 'PrecipitationOccurrenceMultiSiteModel' model object	generate generate.CCGammaObjectListPerEachMonth generate.PrecipitationAmountModel generate.PrecipitationOccurrenceModel generate.PrecipitationOccurrenceMultiSiteModel
It calculates the number of wet days for each month and each year	nwetdays
This function finds the bivariate joint probability or the binary correlation from the corresponding Gaussian correlation 'x'	omega
This function is the inverse of 'omega' function	omega_inv
This is the target function whose zero is searched to crete the inverse function of 'omega'.	omega_root
Creates a Precipitation Amount Model	PrecipitationAmountModel
Precipitation Occurrence Model	PrecipitationOccurrenceModel
Precipitation Occurrence Multi-Site Model	PrecipitationOccurrenceMultiSiteModel
Prediction of a 'PrecipitationOccurrenceModel' model object	predict predict.PrecipitationAmountModel predict.PrecipitationOccurrenceModel predict.PrecipitationOccurrenceMultiSiteModel