Other packages > Find by keyword >

SILGGM  

Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("SILGGM", "1.0.0")



Attach the package and use:
library("SILGGM")
Maintained by
Rong Zhang
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-10-16
Latest Update: 2017-10-16
Description:
Provides a general framework to perform statistical inference of each gene pair and global inference of whole-scale gene pairs in gene networks using the well known Gaussian graphical model (GGM) in a time-efficient manner. We focus on the high-dimensional settings where p (the number of genes) is allowed to be far larger than n (the number of subjects). Four main approaches are supported in this package: (1) the bivariate nodewise scaled Lasso (Ren et al (2015) <doi:10.1214/14-AOS1286>) (2) the de-sparsified nodewise scaled Lasso (Jankova and van de Geer (2017) <doi:10.1007/s11749-016-0503-5>) (3) the de-sparsified graphical Lasso (Jankova and van de Geer (2015) <doi:10.1214/15-EJS1031>) (4) the GGM estimation with false discovery rate control (FDR) using scaled Lasso or Lasso (Liu (2013) <doi:10.1214/13-AOS1169>). Windows users should install 'Rtools' before the installation of this package.
How to cite:
Rong Zhang (2017). SILGGM: Statistical Inference of Large-Scale Gaussian Graphical Model in Gene Networks. R package version 1.0.0, https://cran.r-project.org/web/packages/SILGGM. Accessed 25 Jun. 2026.
Previous versions and publish date:
No previous versions
Other packages that cited SILGGM R package
View SILGGM citation profile
Other R packages that SILGGM depends, imports, suggests or enhances
Complete documentation for SILGGM
Functions, R codes and Examples using the SILGGM R package
Some associated functions: SILGGM . 
Some associated R codes: RcppExports.R . SILGGM.R .  Full SILGGM package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA