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MedZIsc

Statistical Framework for Co-Mediators of Zero-Inflated Single-Cell Data

A causal mediation framework for single-cell data that incorporates two key features ('MedZIsc', pronounced Magics): (1) zero-inflation using beta regression and (2) overdispersed expression counts using negative binomial regression. This approach also includes a screening step based on penalized and marginal models to handle high-dimensionality. Full methodological details are available in our recent preprint by Ahn S and Li Z (2025) <doi:10.48550/arXiv.2505.22986>.

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VersionRepositoryFileSize
0.0.4 rolling linux/jammy R-4.5 MedZIsc_0.0.4.tar.gz 276.2 KiB
0.0.4 rolling linux/noble R-4.5 MedZIsc_0.0.4.tar.gz 276.2 KiB
0.0.4 rolling source/ R- MedZIsc_0.0.4.tar.gz 172.0 KiB
0.0.4 latest linux/jammy R-4.5 MedZIsc_0.0.4.tar.gz 276.2 KiB
0.0.4 latest linux/noble R-4.5 MedZIsc_0.0.4.tar.gz 276.2 KiB
0.0.4 latest source/ R- MedZIsc_0.0.4.tar.gz 172.0 KiB
0.0.4 2026-04-26 source/ R- MedZIsc_0.0.4.tar.gz 172.0 KiB
0.0.4 2026-04-23 source/ R- MedZIsc_0.0.4.tar.gz 172.0 KiB
0.0.4 2026-04-09 windows/windows R-4.5 MedZIsc_0.0.4.zip 279.1 KiB

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