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# CITATION 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 "dependentsimr" in publications use:'
type: software
license: MIT
title: 'dependentsimr: Simulate Omics-Scale Data with Dependency'
version: 1.0.0.0
doi: 10.32614/CRAN.package.dependentsimr
abstract: 'Using a Gaussian copula approach, this package generates simulated data
  mimicking a target real dataset. It supports normal, Poisson, empirical, and ''DESeq2''
  (negative binomial with size factors) marginal distributions. It uses an low-rank
  plus diagonal covariance matrix to efficiently generate omics-scale data. Methods
  are described in: Yang, Grant, and Brooks (2025) <https://doi.org/10.1101/2025.01.31.634335>.'
authors:
- family-names: Brooks
  given-names: Thomas
  email: tgbrooks@gmail.com
  orcid: https://orcid.org/0000-0002-6980-0079
repository: https://tgbrooks.r-universe.dev
commit: 1af2c556bff0e51722e5c0a52117df2dd4bb4000
date-released: '2025-10-06'
contact:
- family-names: Brooks
  given-names: Thomas
  email: tgbrooks@gmail.com
  orcid: https://orcid.org/0000-0002-6980-0079