A set of tools for performing sparse Gaussian graphical model (joint, multiple and difference) estimation from high dimensional dataset. It contains a general purpose visualization function as well as a specialized function for 3d brain network. Simulation and evaluation modules are available. It also contains a simple GUI built in shiny for easy graph visualization. Methods include SIMULE (Wang B et al. (2017) <doi:10.1007/s10994-017-5635-7>), WSIMULE (Singh C et al. (2017) <arXiv:1709.04090v2>), DIFFEE (Wang B et al. (2018) <arXiv:1710.11223>), FASJEM (Wang B et al. (2018) <arXiv:1702.02715v3>), JEEK (Wang B et al. (2018) <arXiv:1806.00548>) and DIFFEEK (Wang B et al, under final review for publication).
| Version: | 1.0.0 |
| Depends: | R (≥ 3.0.0), lpSolve, pcaPP, igraph, parallel |
| Imports: | MASS, brainR, misc3d, oro.nifti, shiny, rgl, methods |
| Published: | 2018-12-25 |
| Author: | Beilun Wang [aut], Yanjun Qi [aut], Zhaoyang Wang [aut, cre] |
| Maintainer: | Zhaoyang Wang <zw4dn at virginia.edu> |
| BugReports: | https://github.com/QData/JointNets |
| License: | GPL-2 |
| URL: | https://github.com/QData/JointNets |
| NeedsCompilation: | no |
| CRAN checks: | JointNets results |
| Reference manual: | JointNets.pdf |
| Package source: | JointNets_1.0.0.tar.gz |
| Windows binaries: | r-devel: JointNets_1.0.0.zip, r-release: JointNets_1.0.0.zip, r-oldrel: JointNets_1.0.0.zip |
| OS X binaries: | r-release: JointNets_1.0.0.tgz, r-oldrel: JointNets_1.0.0.tgz |
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