R Observatory: Metrics for RGENERATEPREC version 1.3.2

Balamuta, James Joseph

doi:10.5281/zenodo.21843040

RGENERATEPREC

1.3.2Package record

Tools to Generate Daily-Precipitation Time Series

0packages depend

2.9Kdownloads / year

–test coverage

13/13flavors OK

Overview

About

Maintained by Emanuele CordanoCRAN page ↗Website ↗

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 .

Install

R (CRAN)Ubuntu (r2u)Fedora (COPR)openSUSE (OBS)

install.packages("RGENERATEPREC", repos = "https://cloud.r-project.org/")

Installs the current CRAN release. Prebuilt binaries on Windows and macOS.

Release

# enable cranapt (r2u) if it is not already set up, then install
grep -rqs r2u.stat.illinois.edu /etc/apt/sources.list /etc/apt/sources.list.d/ \
  || curl -fsSL https://raw.githubusercontent.com/eddelbuettel/r2u/master/inst/scripts/add_cranapt_noble.sh | sudo bash
sudo apt install -y r-cran-rgenerateprec

Fast Ubuntu binaries via r2u (no compilation). The cranapt setup runs once and is skipped when it is already enabled. We list this channel from recorded r2u download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

bspm (used by r2u) also needs make: sudo apt install make

# enable the iucar/cran COPR if it is not already present, then install
ls /etc/yum.repos.d/*iucar*cran*.repo >/dev/null 2>&1 \
  || sudo dnf copr enable -y iucar/cran
sudo dnf install -y R-CRAN-RGENERATEPREC

RPMs from the iucar/cran COPR, rebuilt from CRAN.

For install.packages() integration in R, also: sudo dnf install R-CoprManager

# add the autoCRAN OBS repo (Tumbleweed) if it is missing, then install
zypper -q lr | grep -qi autoCRAN \
  || sudo zypper addrepo https://download.opensuse.org/repositories/devel:/languages:/R:/autoCRAN/openSUSE_Tumbleweed/devel:languages:R:autoCRAN.repo
sudo zypper install -y R-RGENERATEPREC

RPMs auto-built from CRAN on openSUSE OBS (Tumbleweed). We list this channel from recorded autoCRAN download activity rather than from a live index of the repository, so treat it as last known rather than guaranteed.

Health

CRAN checks

13OK

CRAN check page ↗

Slowest check: 5.6 min · r-oldrel-windows-x86_64

Status changes

OK13 OK2026-08-05
NOTE12 OK, 1 NOTE2026-08-01
OK13 OK2026-06-09
ERROR12 OK, 1 ERROR2026-06-08
OK14 OK2026-03-10

Advisories

none known

How this is measured·How advisories are found

Documentation

In release 1.3.2

README· In the repository, left out of the releaseVignettesYes · 1 · dynamicNEWSNoCitation fileYes · cites a publicationWebsiteYes · pkgdown

Help pages: 12
Examples that run: 92%11 run in a plain check · 1 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples: 100%
Documented parameters: 87%
Return-value docs: 100%
Help pages citing references: 25%

Vignettes (1)

Stochastic Generation of Daily Precipitation Time Series HTML

How these are measured

Downloads

2.9K

CRAN downloads in the past year

Rank #15,232 · ~8/day · ~242/mo

Releases R versions

Daily download trend is not available in this view yet.

34030 days

79890 days

2.9K1 year

Compare downloads with other packages →

Also on119 r2u90 c2d4u

How downloads are counted

Repository

ecor/rgenerateprec ↗Account: ecor

4Stars

1Forks

1Open issues

0Open PRs

2Releases

86Commits

1Commit identities

License file reads as GPL-3.0 · 86 commits · Last activity 2025-07-30

Responsiveness

How these are sampled

PRs merged (all time): 100%
Median days to close, 50 most recently updated closed issues: not measured
Median days to close, 50 most recently updated closed PRs: 0

How these are measured

PracticesBeta

2 development-tooling and community-health practices detected across 2 families in the upstream repository

Checks run against github.com/ecor/rgenerateprec on 2026-10-18.

Docs source (1)

GitHub Pages site last deployed 2025-07-30

Lint, format, editor (1)

RStudio project

How this is detected·Detection ruleset v3 (2026-09-26)

Dependencies

Declared dependencies

14 external dependencies (excludes base and recommended)

Installing RGENERATEPREC adds 32 packages (20 with compiled code, 31 MB of source tarballs). Heaviest: stringi 11 MB, copula 3.5 MB, RGENERATE 3.1 MB.

Depends (6)

R >= 3.5.0copula RGENERATE blockmatrixMatrixstringr

Imports (2)

RMAWGEN lubridate

LinkingTo (0)

none

Suggests (8)

knitr rmarkdown mapview sf lmom ggplot2 reshape2 RefManageR

Enhances (0)

none

Dependency license breakdown →

Reverse dependencies

0direct

0indirect

Nothing depends on this yet.

How these are counted

Code & Tests

People & History

People (1)

Emanuele Cordano

Author, Maintainer since 1.0 (2015), Contributor

Releases (6)

Pick two releases to compare their code metrics.

R
R 4.6.0 released · 2026-04-24
1.3.2Latest
record
2025-07-30 · current release · diff ↗
R
R 4.5.0 released · 2025-04-11
R
R 4.4.0 released · 2024-04-24
R
R 4.3.0 released · 2023-04-21
R
R 4.2.0 released · 2022-04-22
1.2.9
record
2022-01-20 · diff ↗
R
R 4.1.0 released · 2021-05-18
unarchivedReturned to CRAN
2021-01-19
1.2.8
record
2021-01-19 · diff ↗
archivedRemoved from CRAN
2020-11-10
check problems were not corrected in time
R
R 4.0.0 released · 2020-04-24
1.2.5
record
2019-11-27 · diff ↗ ·
removed 2 exports
PrecipitationOccurenceModel, PrecipitationOccurenceMultiSiteModel

added 2 exports
PrecipitationOccurrenceModel, PrecipitationOccurrenceMultiSiteModel
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

Show 5 earlier eventsHide 5 earlier events

1.2
record
2017-02-11 · diff ↗
R
R 3.3.0 released · 2016-05-03
R
R 3.2.0 released · 2015-04-16
1.0
record
2015-01-07
R
R 3.1.0 released · 2014-04-10

Package metadata

First published: 2015-01-07
Total releases: 6 / 11 yrs
License: GPL (>= 2) OSI
Minimum R: ≥ 3.5.0
Download size: 4.0 MB

Appears in task views

Hydrological Data and Modeling

Cite

Cite this package

Run in R for the authors' entry:

citation("RGENERATEPREC")

The package provides a citation file, so citation() returns the authors' own entry.

It points to 10.19199/2016.3.2038-5625.031, 10.32614/cran.package.rgenerate, 10.32614/cran.package.rgenerateprec, 10.32614/cran.package.rmawgen.

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 RGENERATEPREC version 1.3.2 [Data set]. HJJB, LLC. Data release v2026-10-22. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-22, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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