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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

VersionRepositoryFileSize
1.0.0.0 rolling linux/jammy R-4.5 dependentsimr_1.0.0.0.tar.gz 102.8 KiB
1.0.0.0 rolling linux/noble R-4.5 dependentsimr_1.0.0.0.tar.gz 102.6 KiB
1.0.0.0 rolling source/ R- dependentsimr_1.0.0.0.tar.gz 59.2 KiB
1.0.0.0 latest linux/jammy R-4.5 dependentsimr_1.0.0.0.tar.gz 102.8 KiB
1.0.0.0 latest linux/noble R-4.5 dependentsimr_1.0.0.0.tar.gz 102.6 KiB
1.0.0.0 latest source/ R- dependentsimr_1.0.0.0.tar.gz 59.2 KiB
1.0.0.0 2026-04-26 source/ R- dependentsimr_1.0.0.0.tar.gz 59.2 KiB
1.0.0.0 2026-04-23 source/ R- dependentsimr_1.0.0.0.tar.gz 59.2 KiB
1.0.0.0 2026-04-09 windows/windows R-4.5 dependentsimr_1.0.0.0.zip 108.0 KiB

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