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lglasso  

Graphical Lasso for Longitudinal Data
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("lglasso", "2.0.0")



Attach the package and use:
library("lglasso")
Maintained by
Jie Zhou
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2022-01-15
Latest Update: 2022-01-15
Description:
For high-dimensional correlated observations, this package carries out the L_1 penalized maximum likelihood estimation of the precision matrix (network) and the correlation parameters. The correlated data can be longitudinal data (may be irregularly spaced) with dampening correlation or clustered data with uniform correlation. For the details of the algorithms, please see the paper Jie Zhou et al. Identifying Microbial Interaction Networks Based on Irregularly Spaced Longitudinal 16S rRNA sequence data .
How to cite:
Jie Zhou (2022). lglasso: Graphical Lasso for Longitudinal Data. R package version 2.0.0, https://cran.r-project.org/web/packages/lglasso. Accessed 16 Oct. 2026.
Previous versions and publish date:
(2026-09-24 10:50), 0.1.0 (2022-01-15 09:52)
Other packages that cited lglasso R package
View lglasso citation profile
Other R packages that lglasso depends, imports, suggests or enhances
Complete documentation for lglasso
Functions, R codes and Examples using the lglasso R package
Some associated functions: heterlongraph . homolongraph . iss . lglasso . ll_homo . lli_homo . logdensity . mle . mle_alpha . mle_net . mle_tau . phifunction . sample_data . 
Some associated R codes: heterFunction.R . homoFunction.R . sample_data.R . sharedFunction.R .  Full lglasso package functions and examples
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