Type: Package Package: missoNet Title: Joint Sparse Regression & Network Learning with Missing Data Version: 1.5.1 Date: 2025-09-01 Authors@R: c( person("Yixiao", "Zeng", , "yixiao.zeng@mail.mcgill.ca", role = c("aut", "cre", "cph")), person("Celia", "Greenwood", , "celia.greenwood@mcgill.ca", role = c("ths", "aut")) ) Maintainer: Yixiao Zeng Description: 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) . License: GPL-2 URL: https://github.com/yixiao-zeng/missoNet, https://arxiv.org/abs/2507.05990 BugReports: https://github.com/yixiao-zeng/missoNet/issues 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 Suggests: flare, ggplot2, glasso, gridExtra, igraph, knitr, parallel, RColorBrewer, reshape2, rmarkdown LinkingTo: Rcpp, RcppArmadillo VignetteBuilder: knitr biocViews: ByteCompile: true Encoding: UTF-8 NeedsCompilation: yes Roxygen: list(markdown = TRUE) RoxygenNote: 7.3.2 Config/pak/sysreqs: libpng-dev perl Repository: https://yixiao-zeng.r-universe.dev Date/Publication: 2025-09-02 11:29:42 UTC RemoteUrl: https://github.com/yixiao-zeng/missonet RemoteRef: HEAD RemoteSha: 4a4a114d57136f358cf84ba231fa2fa08254d8fa Packaged: 2026-07-06 08:06:02 UTC; root Author: Yixiao Zeng [aut, cre, cph], Celia Greenwood [ths, aut]