DNetFinder
1.1Estimating Differential Networks under Semiparametric Gaussian Graphical Models
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Documentation
- Examples that run
- 100%
- Documented parameters
- 100%
- Return-value docs
- 100%
- References docs
- 100%
Downloads
Dependencies
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Code & Tests
People & History
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2 releases. Pick two to compare their code metrics. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- RR 4.3.0 released · 2023-04-21
- 1.1Latest
- unarchivedReturned to CRAN2023-03-03
- RR 4.2.0 released · 2022-04-22
- RR 4.1.0 released · 2021-05-18
- archivedRemoved from CRAN2020-05-17required archived package 'flare'
- RR 4.0.0 released · 2020-04-24
- RR 3.6.0 released · 2019-04-26
- RR 3.5.0 released · 2018-04-23
- 1.02018-01-05
- RR 3.4.0 released · 2017-04-21
Package metadata
- First published
- 2018-01-05
- Total releases
- 2 / 8 yrs
- License
- GPL-3 OSI
- Minimum R
- ≥ 3.3.0
- Download size
- 22 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet
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