CRAN

JointNets 1.0.0

Sparse Gaussian Graphical Model Estimation, Visualization and Evaluation

Released Dec 25, 2018 by Zhaoyang Wang

This package cannot yet be used with Renjin it depends on other packages which are not available: shiny 1.2.0, rgl 0.99.16, and brainR 1.5.1

Dependencies

brainR 1.5.1 shiny 1.2.0 rgl 0.99.16 igraph 1.2.2 oro.nifti 0.9.1 lpSolve 5.6.13 pcaPP 1.9-73 misc3d 0.8-4 MASS 7.3-51.1

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).

Source

R

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