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.
- Version1.1
- R versionunknown
- LicenseGPL-3
- Needs compilation?No
- Last release03/03/2023
Team
Qingyang Zhang
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- Depends1 package