Other packages > Find by keyword >

HeteroGGM  

Gaussian Graphical Model-Based Heterogeneity Analysis
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("HeteroGGM", "1.0.1")



Attach the package and use:
library("HeteroGGM")
Maintained by
Mingyang Ren
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2021-02-11
Latest Update: 2023-10-11
Description:
The goal of this package is to user-friendly realizing Gaussian graphical model-based heterogeneity analysis. Recently, several Gaussian graphical model-based heterogeneity analysis techniques have been developed. A common methodological limitation is that the number of subgroups is assumed to be known a priori, which is not realistic. In a very recent study (Ren et al., 2022), a novel approach based on the penalized fusion technique is developed to fully data-dependently determine the number and structure of subgroups in Gaussian graphical model-based heterogeneity analysis. It opens the door for utilizing the Gaussian graphical model technique in more practical settings. Beyond Ren et al. (2022), more estimations and functions are added, so that the package is self-contained and more comprehensive and can provide ``more direct'' insights to practitioners (with the visualization function). Reference: Ren, M., Zhang S., Zhang Q. and Ma S. (2022). Gaussian Graphical Model-based Heterogeneity Analysis via Penalized Fusion. Biometrics, 78 (2), 524-535.
How to cite:
Mingyang Ren (2021). HeteroGGM: Gaussian Graphical Model-Based Heterogeneity Analysis. R package version 1.0.1, https://cran.r-project.org/web/packages/HeteroGGM. Accessed 15 Jul. 2026.
Previous versions and publish date:
0.1.0 (2021-02-11 10:30), 1.0.1 (2023-10-11 15:10), (2026-07-09 08:06)
Other packages that cited HeteroGGM R package
View HeteroGGM citation profile
Other R packages that HeteroGGM depends, imports, suggests or enhances
Complete documentation for HeteroGGM
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

gamlss.add  
Extra Additive Terms for Generalized Additive Models for Location Scale and Shape
Interface for extra smooth functions including tensor products, neural networks and decision trees. ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
PermAlgo  
Permutational Algorithm to Simulate Survival Data
This version of the permutational algorithm generates a dataset in which event and censoring times ...
Download / Learn more Package Citations See dependency  
SECFISH  
Disaggregate Variable Costs
These functions were developed within SECFISH project (Strengthening regional cooperation in the are ...
Download / Learn more Package Citations See dependency  
gscaLCA  
Generalized Structure Component Analysis- Latent Class Analysis & Latent Class Regression
Execute Latent Class Analysis (LCA) and Latent Class Regression (LCR) by using Generalized Structu ...
Download / Learn more Package Citations See dependency  
footBayes  
Fitting Bayesian and MLE Football Models
This is the first package allowing for the estimation, visualization and prediction of the most wel ...
Download / Learn more Package Citations See dependency  

27,806

R Packages

239,283

Dependencies

73,837

Author Associations

27,807

Publication Badges

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