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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 |
Reference manual: | missoNet.html , missoNet.pdf |
Vignettes: |
Case Study: Genomic Data Analysis with missoNet (source, R code) Cross-Validation and Advanced Features in missoNet (source, R code) Getting Started with missoNet (source, R code) |
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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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.