R package citation, R package reverse dependencies, R package scholars, install an r package from GitHub hy is package acceptance pending why is package undeliverable amazon why is package on hold dhl tour packages why in r package r and r package full form why is r free why r is bad which r package to install which r package has which r package which r package version which r package readxl which r package ggplot which r package fread which r package license where is package.json where is package-lock.json where is package.swift where is package explorer in eclipse where is package where is package manager unity where is package installer android where is package manager console in visual studio who r package which r package to install which r package version who is package who is package deal who is package design r and r package full form r and r package meaning what r package has what package r what is package in java what is package what is package-lock.json what is package in python what is package.json what is package installer do r package can't install r packages r can't find package r can't load package can't load xlsx package r can't install psych package r can't install sf package r Write if else in NONMEM pk pd
fasjem
View on CRAN: Click
here
Download and install fasjem package within the R console
Install from CRAN:
install.packages("fasjem")
Install from Github:
library("remotes")
install_github("cran/fasjem")
Install by package version:
library("remotes")
install_version("fasjem", "1.1.2")
Attach the package and use:
library("fasjem")
Maintained by
Beilun Wang
[Scholar Profile | Author Map]
[Scholar Profile | Author Map]
First Published: 2017-04-21
Latest Update: 2017-08-01
Description:
This is an R implementation of "A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models" (FASJEM). The FASJEM algorithm can be used to estimate multiple related precision matrices. For instance, it can identify context-specific gene networks from multi-context gene expression datasets. By performing data-driven network inference from high-dimensional and heterogonous data sets, this tool can help users effectively translate aggregated data into knowledge that take the form of graphs among entities. Please run demo(fasjem) to learn the basic functions provided by this package. For more details, please see .
How to cite:
Beilun Wang (2017). fasjem: A Fast and Scalable Joint Estimator for Learning Multiple Related Sparse Gaussian Graphical Models. R package version 1.1.2, https://cran.r-project.org/web/packages/fasjem. Accessed 29 Mar. 2025.
Previous versions and publish date:
Other packages that cited fasjem R package
View fasjem citation profile
Other R packages that fasjem depends,
imports, suggests or enhances
Complete documentation for fasjem
Functions, R codes and Examples using
the fasjem R package
Some associated functions: exampleData . fasjem-package . fasjem . net.degree . net.edges . net.hubs . net.neighbors . plot.fasjem .
Some associated R codes: fasjem.R . net.degree.R . net.edges.R . net.hubs.R . net.neighbors.R . Full fasjem package functions and examples
Downloads during the last 30 days
Today's Hot Picks in Authors and Packages
landmix
Non-parametric prediction of survival outcomes for mixture data that incorporates covariates and a l ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Layla Parast (view profile)
quickcode
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
Download / Learn more Package Citations See dependency
Maintainer: Obinna Obianom (view profile)
gglgbtq
Provides multiple palettes based on pride flags with tailored themes. ...
Download / Learn more Package Citations See dependency
Download / Learn more Package Citations See dependency
Maintainer: Laura Bakala (view profile)
23,842
R Packages
207,311
Dependencies
64,420
Author Associations
23,781
Publication Badges
