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: 0.1.6
Depends: methods
Imports: Rcpp, Matrix, stats, igraph, mvtnorm, qtl, stringr, glmnet, MASS
LinkingTo: Rcpp, RcppEigen
Suggests: plotly, knitr, rmarkdown, network, ggnetwork
Published: 2019-12-04
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


Reference manual: fssemR.pdf
Vignettes: fssemR-introduction


Package source: fssemR_0.1.6.tar.gz
Windows binaries: r-devel: fssemR_0.1.6.zip, r-devel-UCRT: fssemR_0.1.6.zip, r-release: fssemR_0.1.6.zip, r-oldrel: fssemR_0.1.6.zip
macOS binaries: r-release (arm64): fssemR_0.1.6.tgz, r-release (x86_64): fssemR_0.1.6.tgz, r-oldrel: fssemR_0.1.6.tgz
Old sources: fssemR archive


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