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:	1.1
Depends:	R (≥ 3.3.0), flare, stats
Published:	2023-03-03
DOI:	10.32614/CRAN.package.DNetFinder
Author:	Qingyang Zhang
Maintainer:	Qingyang Zhang <qz008 at uark.edu>
License:	GPL-3
NeedsCompilation:	no
CRAN checks:	DNetFinder results

Documentation:

Reference manual:

DNetFinder.pdf

Downloads:

Package source:	DNetFinder_1.1.tar.gz
Windows binaries:	r-devel: DNetFinder_1.1.zip, r-release: DNetFinder_1.1.zip, r-oldrel: DNetFinder_1.1.zip
macOS binaries:	r-devel (arm64): DNetFinder_1.1.tgz, r-release (arm64): DNetFinder_1.1.tgz, r-oldrel (arm64): DNetFinder_1.1.tgz, r-devel (x86_64): DNetFinder_1.1.tgz, r-release (x86_64): DNetFinder_1.1.tgz, r-oldrel (x86_64): DNetFinder_1.1.tgz
Old sources:	DNetFinder archive

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