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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>.

Version: 0.0.4
Depends: R (≥ 3.5.0)
Imports: MASS, betareg, glmnet
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
Published: 2025-07-16
DOI: 10.32614/CRAN.package.MedZIsc
Author: Seungjun Ahn ORCID iD [cre, aut], Zhigang Li [ctb]
Maintainer: Seungjun Ahn <seungjun.ahn at mountsinai.org>
License: GPL-3
NeedsCompilation: no
CRAN checks: MedZIsc results

Documentation:

Reference manual: MedZIsc.html , MedZIsc.pdf

Downloads:

Package source: MedZIsc_0.0.4.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: not available
macOS binaries: r-release (arm64): not available, r-oldrel (arm64): not available, r-release (x86_64): MedZIsc_0.0.4.tgz, r-oldrel (x86_64): MedZIsc_0.0.4.tgz

Linking:

Please use the canonical form https://CRAN.R-project.org/package=MedZIsc to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.
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