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CDSimX

1.1.2Package record

Simulating Climate Data for Research and Modelling

0packages depend
1.1Kdownloads / year
3.0%test coverage
13/13flavors OK

Overview

About

Advanced climate simulation, forecasting, visualization, export, and machine learning tools. Generates synthetic climate datasets for single or multiple weather stations using stochastic weather generation techniques. 'CDSimX' simulates daily climate variables including minimum and maximum temperature, rainfall, relative humidity, solar radiation, wind speed, wind direction, dew point temperature, and potential evapotranspiration. The package incorporates seasonal harmonic models, Markov chain rainfall occurrence processes, Gamma-distributed rainfall amounts, copula-based dependence structures, bias-correction procedures, and physical consistency constraints. 'CDSimX' supports climate data generation, environmental modeling, machine learning benchmarking, sensitivity analysis, and educational applications. Methods are based on established stochastic weather generation approaches described in Richardson (1981) doi:10.1029/WR017i001p00182, Wilks (1999) doi:10.1016/S0168-1923(99)00037-4, and Osei et al. (2026) doi:10.5334/jors.666.

Install

Health

CRAN checks
13OK
Slowest check: 3.0 min · r-oldrel-windows-x86_64
Status changes
  • OK13 OK2026-08-05
  • NOTE12 OK, 1 NOTE2026-08-01
  • OK8 OK2026-07-11
Advisories

none known

Documentation

In release 1.1.2
READMEYes · 89 wordsVignettesYes · 1 · dynamicNEWSYes · 67% structured · does not mention 1.1.2Citation fileNoWebsiteYes · pkgdown
Help pages
21 (1 internal)includes a package overview page
Examples that run
61%11 run in a plain check · 7 only when donttest examples are enabled (R CMD check --as-cran)
Exported functions with examples
95%
Documented parameters
98%
Return-value docs
100%
Help pages citing references
0%
Vignettes (1)

Downloads

1.1K
CRAN downloads in the past year
Rank #11,380 · ~3/day · ~93/mo
Daily download trend is not available in this view yet.
30130 days
94790 days
1.1K1 year
Compare downloads with other packages →
Also on22 r2u

Repository

0Stars
0Forks
0Open issues
0Open PRs
1Releases
4Commits
1Commit identities
4 commits · Last activity 2026-05-23 · The default branch showed an older version (1.1.0) than CRAN on 2026-10-22
Responsiveness
not measured
PracticesBeta

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

Checks run against github.com/ikemillar/cdsimx on 2026-10-22.

Docs source (2)
pkgdown

GitHub Pages site last deployed 2026-05-23

pkgdown site last built 2026-05-23, before release 1.1.2 (2026-07-10)

Lint, format, editor (1)
RStudio project
How this is detected·Detection ruleset v4 (2026-10-20)

Dependencies

Declared dependencies
16 external dependencies (excludes base and recommended)

Installing CDSimX adds 64 packages (41 with compiled code, 52 MB of source tarballs). Heaviest: stringi 11 MB, ggplot2 6.0 MB, data.table 5.7 MB.

Depends (0)
none
LinkingTo (0)
none
Enhances (0)
none
Reverse dependencies
0direct
0indirect

Nothing depends on this yet.

People & History

People (3)
Author, Maintainer since 1.1.2 (2026)
Releases (1)
  • 1.1.2Latest
    2026-07-10 · current release
  • R
    R 4.6.0 released · 2026-04-24

Package metadata

First published
2026-07-10
Total releases
1 / 1 yrs
License
MIT + file LICENSE OSI
Download size
196 KB

Cite

Cite this package

Run in R for the authors' preferred citation:

citation("CDSimX")
Osei, I., Baafi-Adomako, A., & Maji, J. (2026). CDSimX: Simulating Climate Data for Research and Modelling (Version 1.1.2) [Computer software]. https://doi.org/10.32614/CRAN.package.CDSimX

This package has no citation file, so citation() returns this entry built from DESCRIPTION.

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 CDSimX version 1.1.2 [Data set]. HJJB, LLC. Data release v2026-10-25. https://doi.org/10.5281/zenodo.21843040

From data release v2026-10-25, which the citation names so these numbers can be found later. More on citing and the projects behind them.

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