JointNets (1.0.0)

0 users

Sparse Gaussian Graphical Model Estimation, Visualization and Evaluation.

https://github.com/QData/JointNets
http://cran.r-project.org/web/packages/JointNets

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) ), WSIMULE (Singh C et al. (2017) ), DIFFEE (Wang B et al. (2018) ), FASJEM (Wang B et al. (2018) ), JEEK (Wang B et al. (2018) ) and DIFFEEK (Wang B et al, under final review for publication).

Maintainer: Zhaoyang Wang
Author(s): Beilun Wang [aut], Yanjun Qi [aut], Zhaoyang Wang [aut, cre]

License: GPL-2

Uses: brainR, igraph, lpSolve, MASS, misc3d, oro.nifti, pcaPP, rgl, shiny

Released 6 months ago.


Ratings

Overall:

  (0 votes)

Documentation:

  (0 votes)

Log in to vote.

Reviews

No one has written a review of JointNets yet. Want to be the first? Write one now.


Related packages:(20 best matches, based on common tags.)


Search for JointNets on google, google scholar, r-help, r-devel.

Visit JointNets on R Graphical Manual.