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DNetFinder  

Estimating Differential Networks under Semiparametric Gaussian Graphical Models
View on CRAN: Click here


Download and install DNetFinder package within the R console
Install from CRAN:
install.packages("DNetFinder")

Install from Github:
library("remotes")
install_github("cran/DNetFinder")

Install by package version:
library("remotes")
install_version("DNetFinder", "1.1")



Attach the package and use:
library("DNetFinder")
Maintained by
Qingyang Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2018-01-05
Latest Update: 2023-03-03
Description:
Provides a modified hierarchical test (Liu (2017) ) 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.
How to cite:
Qingyang Zhang (2018). DNetFinder: Estimating Differential Networks under Semiparametric Gaussian Graphical Models. R package version 1.1, https://cran.r-project.org/web/packages/DNetFinder. Accessed 23 Dec. 2024.
Previous versions and publish date:
1.0 (2018-01-05 11:00)
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