fssemR: Fused Sparse Structural Equation Models to Jointly Infer GeneRegulatory Network
An optimizer of Fused-Sparse Structural Equation Models, which is the state of the art jointly fused sparse maximum likelihood function for structural equation models proposed by Xin Zhou and Xiaodong Cai (2018 <doi:10.1101/466623>).
| Version: | 0.1.8 |
| Depends: | methods |
| Imports: | Rcpp,Matrix, stats,igraph,mvtnorm,qtl,stringr,glmnet,MASS,qpdf |
| LinkingTo: | Rcpp,RcppEigen |
| Suggests: | plotly,knitr,rmarkdown,network,ggnetwork |
| Published: | 2022-02-11 |
| DOI: | 10.32614/CRAN.package.fssemR |
| Author: | Xin Zhou, Xiaodong Cai |
| Maintainer: | Xin Zhou <xxz220 at miami.edu> |
| License: | GPL (≥ 3) |
| URL: | https://github.com/Ivis4ml/fssemR |
| NeedsCompilation: | yes |
| Materials: | README |
| CRAN checks: | fssemR results[issues need fixing before 2025-12-18] |
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