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.
Versions across snapshots
| Version | Repository | File | Size |
|---|---|---|---|
1.1 |
rolling linux/jammy R-4.5 | DNetFinder_1.1.tar.gz |
56.3 KiB |
1.1 |
rolling linux/noble R-4.5 | DNetFinder_1.1.tar.gz |
56.2 KiB |
1.1 |
rolling source/ R- | DNetFinder_1.1.tar.gz |
23.3 KiB |
1.1 |
latest linux/jammy R-4.5 | DNetFinder_1.1.tar.gz |
56.3 KiB |
1.1 |
latest linux/noble R-4.5 | DNetFinder_1.1.tar.gz |
56.2 KiB |
1.1 |
latest source/ R- | DNetFinder_1.1.tar.gz |
23.3 KiB |
1.1 |
2026-04-26 source/ R- | DNetFinder_1.1.tar.gz |
23.3 KiB |
1.1 |
2026-04-23 source/ R- | DNetFinder_1.1.tar.gz |
23.3 KiB |
1.1 |
2026-04-09 windows/windows R-4.5 | DNetFinder_1.1.zip |
57.1 KiB |
1.1 |
2025-04-20 source/ R- | DNetFinder_1.1.tar.gz |
23.3 KiB |