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CSDownscale

0.0.3

Statistical Downscaling of Climate Predictions

1packages depend
3Kdownloads / year
test coverage
13/13checks pass

Overview

About
Maintained by Victòria AgudetseFirst published 2025-12-173 releasesCRAN page ↗

Statistical downscaling and bias correction of climate predictions. It includes implementations of commonly used methods such as Analogs, Linear Regression, Logistic Regression, and Bias Correction techniques, as well as interpolation functions for regridding and point-based applications. It facilitates the production of high-resolution and local-scale climate information from coarse-scale predictions, which is essential for impact analyses. The package can be applied in a wide range of sectors and studies, including agriculture, water management, energy, heatwaves, and other climate-sensitive applications. The package was developed within the framework of the European Union Horizon Europe projects Impetus4Change (101081555) and ASPECT (101081460), the Wellcome Trust supported HARMONIZE project (224694/Z/21/Z), and the Spanish national project BOREAS (PID2022-140673OA-I00). Implements the methods described in 'Ramon et al. (2021) doi:10.1088/1748-9326/abe491', 'Duzenli et al. (2024) doi:10.5194/egusphere-egu24-19420', 'Moreno-Montes et al. (2026) doi:10.1016/j.cliser.2026.100639', 'Duzenli et al. (2026) doi:10.1038/s41598-026-45067-2', 'Duzenli et al. (2026) doi:10.1088/1748-9326/ae5c22'.

Install

Health

CRAN checks
13OK
Slowest check: 3.2 min · r-oldrel-windows-x86_64
Code health
None
Tests · ratio 0.00
not tracked
Coverage
100%
Documentation · exports
9
Dependencies · direct
Check history
  • OK2026-08-05
    13 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • NOTE2026-08-01
    12 OK · 1 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
  • OK2026-03-10
    14 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

Documentation

Documentation
READMENoVignettesNopkgdown siteNoNEWSYes · 100% structuredCode of conductNoContributing guideNo
Examples that run
60%
Documented parameters
100%
Return-value docs
100%
References docs
0%

Downloads

3K
CRAN downloads in the past year
Rank #8,672 · ~8/day · ~252/mo
Daily download trend is not available in this view yet.
17030 days
1.1K90 days
3K1 year
Compare downloads with other packages →
Also on78 r2u

Repository

Repository practices

Upstream repositoryBeta

Repository gitlab.earth.bsc.es/es/csdownscale is linked, but repository-practices checks have not run for it yet. Checks are GitHub-only for now.

How this is detected·Detection ruleset v1 (2026-07-18)

Dependencies

Declared dependencies
8 external dependencies (excludes base and recommended)
Depends (1)
R >= 3.6.0
LinkingTo (0)
none
Suggests (0)
none
Enhances (0)
none
Reverse dependencies
1direct
0indirect

Code & Tests

People & History

People (14)
Maintainer (1)
Maintainer · added in 0.0.2
Authors (4)
Author, Copyright holder
Contributors (9)
Contributor
Contributor
Contributor
Contributor
Show 1 more contributors
Copyright holders (1)
Author, Copyright holder
Package Timeline

3 releases. Pick two to compare their code metrics. R releases are shown for context.

  • 0.0.3Latest
    2026-06-04 · current release · diff ↗
  • R
    R 4.6.0 released · 2026-04-24
  • 0.0.2
    2026-03-05 · diff ↗
  • 0.0.1
    2025-12-17
  • R
    R 4.5.0 released · 2025-04-11

Package metadata

First published
2025-12-17
Total releases
3 / 1 yrs
License
GPL-3 OSI
Minimum R
≥ 3.6.0
Download size
45 KB
Installed size
not tracked yet
With dependencies
not tracked yet

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CSDownscale")
Agudetse, V., BSC-CNS, Corvillo Guerra, J., Delgado, C., Duzenli, E., Kariyathan, T., Llabrés-Brustenga, A., Lledó, L., Marcos, R., Moreno-Montes, S., Palma, L., Perez-Zanon, N., Ramon, J., & Torralba, V. (2026). CSDownscale: Statistical Downscaling of Climate Predictions (Version 0.0.3) [Computer software]. https://doi.org/10.32614/CRAN.package.CSDownscale

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.

APA

Balamuta, J. J. (2026). R Observatory: Metrics for CSDownscale version 0.0.3 [Data set]. HJJB, LLC. Data release v2026-08-18. https://doi.org/10.5281/zenodo.21843040

From data release v2026-08-18, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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