R Observatory: Metrics for RMRAINGEN version 1.0

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

This package was removed from CRAN on 2019-11-29. Its history is shown below.

Reason: maintainer's request

Details below reflect version 1.0, its last release before removal.

RMRAINGEN

1.0

RMRAINGEN (R Multi-site RAINfall GENeretor): a package to generate daily time series of rainfall from monthly mean values

0packages depend

–downloads / year

–test coverage

–checks pass

Overview

About

Maintained by Emanuele Cordano1 releasesCRAN page ↗GitHub ↗

This package contains functions and S3 methods for spatial multi-site stochastic generation of daily precipitation. It generates precipitation occurrence in several sites using Wilks' Approach (1998). Bugs/comments/questions/collaboration of any kind are warmly welcomed.

Install

R (source archive)pak (dev)

url <- "https://cran.r-project.org/src/contrib/Archive/RMRAINGEN/RMRAINGEN_1.0.tar.gz"
pkgFile <- "RMRAINGEN_1.0.tar.gz"
download.file(url, pkgFile)
install.packages(pkgFile, type = "source", repos = NULL)

This package is no longer on CRAN, so install.packages() cannot fetch it by name. This downloads the last archived source (1.0) and builds it locally. Install its dependencies first, and note that building from source needs the usual compiler toolchain.

if (!requireNamespace("pak", quietly = TRUE))
  install.packages("pak", repos = "https://cloud.r-project.org/")
pak::pak("ecor/RMRAINGEN")

Development version from ecor/RMRAINGEN. Installs pak first if it is not already available.

Health

CRAN checks

CRAN check results are not tracked yet.

Code health

None

Tests · ratio 0.00

not tracked

Coverage

100%

Documentation · exports

5

Dependencies · direct

Documentation

READMEYes · 8 wordsVignettesNopkgdown siteNoNEWSNoCode of conductNoContributing guideNo

Examples that run: 100%
Documented parameters: 90%
Return-value docs: 67%
References docs: 7%

Downloads

RMRAINGEN Releases R versions

Daily download trend is not available in this view yet.

Compare downloads with other packages →

Dependencies

Declared dependencies

4 external dependencies (excludes base and recommended)

Depends (6)

R >= 3.0copula RGENERATE RMAWGEN blockmatrixMatrix

Imports (0)

none

LinkingTo (0)

none

Suggests (0)

none

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

–indirect (not tracked)

Nothing depends on this yet.

Code & Tests

People & History

People (1)

Other (1)

Emanuele Cordano

Contributor

Package Timeline

1 release. R releases are shown for context.

R
R 4.0.0 released · 2020-04-24
archivedRemoved from CRAN
2019-11-29
maintainer's request
R
R 3.6.0 released · 2019-04-26
R
R 3.5.0 released · 2018-04-23
R
R 3.4.0 released · 2017-04-21
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0
2014-07-22
R
R 3.1.0 released · 2014-04-10

Package metadata

Total releases: 1
License: GPL (>= 2) OSI
Minimum R: ≥ 3.0
Download size: not tracked yet
Installed size: not tracked yet
With dependencies: not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("RMRAINGEN")

Format

Cordano, E. (n.d.). RMRAINGEN: RMRAINGEN (R Multi-site RAINfall GENeretor): a package to generate daily time series of rainfall from monthly mean values (Version 1.0) [Computer software]. Retrieved August 14, 2026, from https://CRAN.R-project.org/package=RMRAINGEN

This is what citation() produces when a package has no citation file of its own. If it prints something else, use that.

Cite the R Observatory

For a number measured here: a download total, a coverage figure, an archival date.

Format

APA

Balamuta, J. J. (2026). R Observatory: Metrics for RMRAINGEN version 1.0 [Data set]. HJJB, LLC. Data release v2026-08-13. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-13, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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