Package: fasjem
Version: 1.1.0
Date: 2017-05-24
Title: A Fast and Scalable Joint Estimator for Learning Multiple
        Related Sparse Gaussian Graphical Models
Authors@R: c(person("Beilun", "Wang", role = c("aut", "cre"), email = "bw4mw@virginia.edu"), person("Yanjun", "Qi", role = "aut", email = "yanjun@virginia.edu"))
Author: Beilun Wang [aut, cre], Yanjun Qi [aut]
Maintainer: Beilun Wang <bw4mw@virginia.edu>
Depends: R (>= 3.0.0), igraph
Description: The FASJEM (A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models) is a joint estimator which is fast and scalable for learning multiple related sparse Gaussian graphical models. For more details, please see <https://www.cs.virginia.edu/yanjun/paperA14/2017_JEM_combined.pdf>.
License: GPL-2
URL: https://www.cs.virginia.edu/~bw4mw, https://github.com/QData/JEM
BugReports: https://github.com/QData/JEM
NeedsCompilation: no
Packaged: 2017-05-25 18:53:21 UTC; beilunwang
Repository: CRAN
Date/Publication: 2017-05-25 21:13:29 UTC
