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# CITATION.cff file created with {cffr} R package
# See also: https://docs.ropensci.org/cffr/
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cff-version: 1.2.0
message: 'To cite package "CDSimX" in publications use:'
type: software
license: MIT
title: 'CDSimX: Simulating Climate Data for Research and Modelling'
version: 1.1.2
abstract: 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) <https://doi.org/10.1029/WR017i001p00182>, Wilks (1999) <https://doi.org/10.1016/S0168-1923(99)00037-4>,
  and Osei et al. (2026) <https://doi.org/10.5334/jors.666>.
authors:
- family-names: Osei
  given-names: Isaac
  email: ikemillar65@gmail.com
- family-names: Baafi-Adomako
  given-names: Acheampong
  email: acheampongbaafi1@gmail.com
- family-names: Maji
  given-names: Jayanti
repository: https://cran.r-universe.dev
repository-code: https://github.com/ikemillar/CDSimX
commit: e87c79dad596d85a4406a0807c86614d05c4712d
url: https://ikemillar.github.io/CDSimX/
date-released: '2026-06-25'
contact:
- family-names: Osei
  given-names: Isaac
  email: ikemillar65@gmail.com