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 |
Author: |
Qingyang Zhang |
Maintainer: |
Qingyang Zhang <qz008 at uark.edu> |
License: |
GPL-3 |
NeedsCompilation: |
no |
CRAN checks: |
DNetFinder results |
Documentation:
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