Package: dependentsimr
Title: Simulate Omics-Scale Data with Dependency
Version: 1.0.0.0
Authors@R: 
    person("Thomas", "Brooks", , "tgbrooks@gmail.com", role = c("aut", "cre", "cph"),
           comment = c(ORCID = "0000-0002-6980-0079"))
Description: 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) <doi:10.1101/2025.01.31.634335>.
License: MIT + file LICENSE
Encoding: UTF-8
RoxygenNote: 7.3.2
Imports: rlang (>= 1.0.0)
Suggests: DESeq2 (>= 1.40.0), S4Vectors (>= 0.44.0),
        SummarizedExperiment (>= 1.36.0), MASS (>= 7.3), corpcor (>=
        1.6.0), testthat (>= 3.0.0), Matrix (>= 1.7), sparsesvd (>=
        0.2), knitr (>= 1.50), rmarkdown, BiocManager, remotes,
        tidyverse (>= 2.0.0)
Depends: R (>= 4.2)
LazyData: true
Config/testthat/edition: 3
VignetteBuilder: knitr
NeedsCompilation: no
Packaged: 2025-07-22 15:28:25 UTC; tgb
Author: Thomas Brooks [aut, cre, cph] (ORCID:
    <https://orcid.org/0000-0002-6980-0079>)
Maintainer: Thomas Brooks <tgbrooks@gmail.com>
Repository: CRAN
Date/Publication: 2025-07-23 19:00:16 UTC
Built: R 4.6.0; ; 2026-04-26 16:12:00 UTC; unix
