wangronglu/CISE: Common and Individual Structure Explained for Multiple Graphs

Specific dimension reduction methods for replicated graphs (multiple undirected graphs repeatedly measured on a common set of nodes). The package contains efficient procedures for estimating a shared baseline propensity matrix and graph-specific low rank matrices. The algorithm uses block coordinate descent algorithm to solve the model as described in the paper linked to via the URL below, which alternatively performs L2-penalized logistic regression and multiple partial eigenvalue decompositions.

Getting started

Package details

Maintainer
LicenseGPL-2
Version0.1.0
URL https://arxiv.org/abs/1707.06360
Package repositoryView on GitHub
Installation Install the latest version of this package by entering the following in R:
install.packages("devtools")
library(devtools)
install_github("wangronglu/CISE")
wangronglu/CISE documentation built on April 2, 2018, 6:18 p.m.