Simultaneously estimates sparse regression coefficients and response network structure in multivariate models with missing data. Unlike traditional approaches requiring imputation, handles missingness natively through unbiased estimating equations (MCAR/MAR compatible). Employs dual L1 regularization with automated selection via cross-validation or information criteria. Includes parallel computation, warm starts, adaptive grids, publication-ready visualizations, and prediction methods. Ideal for genomics, neuroimaging, and multi-trait studies with incomplete high-dimensional outcomes. See Zeng et al. (2025) <doi:10.48550/arXiv.2507.05990>.
| Version: | 1.5.1 |
| Depends: | R (≥ 3.6.0) |
| Imports: | circlize (≥ 0.4.15),ComplexHeatmap,glassoFast (≥ 1.0.1), graphics, grid,mvtnorm (≥ 1.2.3),pbapply (≥ 1.7.2),Rcpp (≥ 1.0.9),scatterplot3d (≥ 0.3.44), stats, utils |
| LinkingTo: | Rcpp,RcppArmadillo |
| Suggests: | ggplot2,glasso,gridExtra,igraph,knitr, parallel,RColorBrewer,reshape2,rmarkdown |
| Published: | 2025-09-02 |
| DOI: | 10.32614/CRAN.package.missoNet |
| Author: | Yixiao Zeng [aut, cre, cph], Celia Greenwood [ths, aut] |
| Maintainer: | Yixiao Zeng <yixiao.zeng at mail.mcgill.ca> |
| BugReports: | https://github.com/yixiao-zeng/missoNet/issues |
| License: | GPL-2 |
| URL: | https://github.com/yixiao-zeng/missoNet,https://arxiv.org/abs/2507.05990 |
| NeedsCompilation: | yes |
| Materials: | README,NEWS |
| CRAN checks: | missoNet results |
| Package source: | missoNet_1.5.1.tar.gz |
| Windows binaries: | r-devel:missoNet_1.5.1.zip, r-release:missoNet_1.5.1.zip, r-oldrel:missoNet_1.5.1.zip |
| macOS binaries: | r-release (arm64):missoNet_1.5.1.tgz, r-oldrel (arm64):missoNet_1.5.1.tgz, r-release (x86_64):missoNet_1.5.1.tgz, r-oldrel (x86_64):missoNet_1.5.1.tgz |
| Old sources: | missoNet archive |
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