DNetFinder: Estimating Differential Networks under Semiparametric Gaussian Graphical Models

Provides a modified hierarchical test (Liu (2017) <doi:10.1214/17-AOS1539>) for detecting the structural difference between two Semiparametric Gaussian graphical models. The multiple testing procedure asymptotically controls the false discovery rate (FDR) at a user-specified level. To construct the test statistic, a truncated estimator is used to approximate the transformation functions and two R functions including lassoGGM() and lassoNPN() are provided to compute the lasso estimates of the regression coefficients.

Package details

AuthorQingyang Zhang
MaintainerQingyang Zhang <[email protected]>
LicenseGPL-3
Version1.0
Package repositoryView on CRAN
Installation Install the latest version of this package by entering the following in R:
install.packages("DNetFinder")

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DNetFinder documentation built on May 2, 2019, 10:23 a.m.