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.

Version: 1.0
Depends: R (≥ 3.3.0), flare, stats
Published: 2018-01-05
Author: Qingyang Zhang
Maintainer: Qingyang Zhang <qz008 at uark.edu>
License: GPL-3
NeedsCompilation: no
CRAN checks: DNetFinder results


Reference manual: DNetFinder.pdf
Package source: DNetFinder_1.0.tar.gz
Windows binaries: r-devel: DNetFinder_1.0.zip, r-release: DNetFinder_1.0.zip, r-oldrel: DNetFinder_1.0.zip
OS X binaries: r-release: DNetFinder_1.0.tgz, r-oldrel: DNetFinder_1.0.tgz


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