fssemR: Fused Sparse Structural Equation Models to Jointly Infer Gene
Regulatory 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 |
Documentation:
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