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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
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:

Reference manual: fssemR.pdf
Vignettes: fssemR-introduction

Downloads:

Package source: fssemR_0.1.8.tar.gz
Windows binaries: r-devel: fssemR_0.1.8.zip, r-release: fssemR_0.1.8.zip, r-oldrel: fssemR_0.1.8.zip
macOS binaries: r-release (arm64): fssemR_0.1.8.tgz, r-oldrel (arm64): fssemR_0.1.8.tgz, r-release (x86_64): fssemR_0.1.8.tgz, r-oldrel (x86_64): fssemR_0.1.8.tgz
Old sources: fssemR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=fssemR to link to this page.

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.
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