dependentsimr
Simulate Omics-Scale Data with Dependency
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>.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.0.0.0 |
2026-04-09 windows/windows R-4.5 | dependentsimr_1.0.0.0.zip |
108.0 KiB |