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cevcmm: Communication-Efficient Varying Coefficient Mixed-Effects Models
Scalable inference for Varying Coefficient Mixed-Effects Models (VCMMs) with large, correlated random effects. Implements sufficient-statistics, one-step communication-efficient surrogate likelihood, and SVD-stabilized (Singular Value Decomposition) estimators with Kronecker and separable covariance structures. Implements the methodology of Jalili and Lin (2025) <doi:10.48550/arXiv.2511.12732>.
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Package details |
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| Author | Lida Jalili [aut, cre], Li-Hsiang Lin [aut] |
| Maintainer | Lida Jalili <lchalangarjalilideh1@gsu.edu> |
| License | GPL (>= 3) |
| Version | 0.1.3 |
| URL | https://lidajalili.github.io/cevcmm/ https://github.com/lidajalili/cevcmm |
| Package repository | View on CRAN |
| Installation |
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