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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.
Getting started
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Package details |
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| Author | Qingyang Zhang |
| Maintainer | Qingyang Zhang <qz008@uark.edu> |
| License | GPL-3 |
| Version | 1.1 |
| Package repository | View on CRAN |
| Installation |
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