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dependentsimr  

Simulate Omics-Scale Data with Dependency
View on CRAN: Click here


Download and install dependentsimr package within the R console
Install from CRAN:
install.packages("dependentsimr")

Install from Github:
library("remotes")
install_github("cran/dependentsimr")

Install by package version:
library("remotes")
install_version("dependentsimr", "1.0.0.0")



Attach the package and use:
library("dependentsimr")
Maintained by
Thomas Brooks
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2025-07-23
Latest Update: 2025-07-23
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>.
How to cite:
Thomas Brooks (2025). dependentsimr: Simulate Omics-Scale Data with Dependency. R package version 1.0.0.0, https://cran.r-project.org/web/packages/dependentsimr. Accessed 09 Oct. 2026.
Previous versions and publish date:
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Complete documentation for dependentsimr
Functions, R codes and Examples using the dependentsimr R package
Full dependentsimr package functions and examples
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