Package: MedZIsc 0.0.5

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 et al. (2025) <doi:10.48550/arXiv.2507.06113>.

Authors:Seungjun Ahn [cre, aut], Zhigang Li [ctb]