Skip to content

airGRdatassim

0.1.4Package record

Ensemble-Based Data Assimilation with GR Hydrological Models

0packages depend
4.5Kdownloads / year
–test coverage
13/13flavors OK

Overview

About

Add-on to the 'airGR' package which provides the tools to assimilate observed discharges in daily GR hydrological models. The package consists in two functions allowing to perform the assimilation of observed discharges via the Ensemble Kalman filter or the Particle filter as described in Piazzi et al. (2021) doi:10.1029/2020WR028390.

Changes in 0.1.4

User-visible changes

  • update article reference in the CITATION file (#3)
  • update DOI of the manual reference in the CITATION file (#26)

Version control and issue tracking

  • now use a R docker image for CI/CD runner (#23)

CRAN-compatibility updates

  • now suggests 'markdown' (#22)
  • replace the use of personList() by c() in the CITATION file (#25)
  • add missing 'airGR' target in the 'airGRdatassim-package' help page (#27)

From NEWS.md in the release

Install

Health

CRAN checks
13OK
Slowest check: 2.5 min · r-oldrel-macos-x86_64
Status changes
  • OK13 OK2026-09-08
  • ERROR12 OK, 1 ERROR2026-09-07
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK14 OK2026-03-10
Advisories

none known

Documentation

In release 0.1.4
READMEYes · 632 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · mentions 0.1.4Citation fileYes · cites a publicationWebsitenot declared in DESCRIPTION
Help pages
3includes a package overview page
Examples that run
100%2 run in a plain check
Exported functions with examples
100%
Documented parameters
96%
Return-value docs
100%
Help pages citing references
67%

Downloads

4.5K
CRAN downloads in the past year
Rank #7,123 · ~12/day · ~373/mo
Daily download trend is not available in this view yet.
48030 days
1.2K90 days
4.5K1 year
Compare downloads with other packages →
Also on118 r2u14 autocran92 c2d4u

Repository

PracticesBeta

Repository gitlab.irstea.fr/hycar-hydro/airgrdatassim is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
4 external dependencies (excludes base and recommended)

Installing airGRdatassim adds 1 package (1 with compiled code, 2.7 MB of source tarballs). Heaviest: airGR 2.7 MB.

Depends (1)
Imports (4)
graphicsgrDevicesstatsutils
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (4)
Author, Maintainer since 0.1.3 (2021)
Contributor
Contributor
Releases (2)

Pick two releases to compare their code metrics.

  • R
    R 4.6.0 released · 2026-04-24
  • R
    R 4.5.0 released · 2025-04-11
  • 0.1.4Latest
    record
    2025-04-04 · current release · diff ↗
  • 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
  • R
    R 4.1.0 released · 2021-05-18
  • 0.1.3
    record
    2021-02-11
  • R
    R 4.0.0 released · 2020-04-24

Package metadata

First published
2021-02-11
Total releases
2 / 5 yrs
License
GPL-2 OSI
Download size
56 KB
Appears in task views

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("airGRdatassim")

The package provides a citation file that builds its entry when R runs it. Run citation() to see it.

Cite the R Observatory

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

APA

Balamuta, J. J. (2026). R Observatory: Metrics for airGRdatassim version 0.1.4 [Data set]. HJJB, LLC. Data release v2026-10-24. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-24, which the citation names so these numbers can be found later. More on citing and the projects behind them.

Report a problem with this page →

Privacy choices

These apply to this browser and are stored on this device only. Nothing about your choice is sent to us.

Read the privacy policy