Description
Longitudinal Graphical Lasso.
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 <doi:10.1101/2021.11.26.470159>.
README.md
lglasso
The goal of lglasso is to estimate the Gaussian graphical model(network) based on the high-dimensional longitudinal data.
Installation
You will be able to install the released version of lglasso soon from CRAN with:
install.packages("lglasso")
And currently the development version can be installed from GitHub with:
# install.packages("devtools")
devtools::install_github("jiezhou-2/lglasso")
For the usage of lglasso package, please check the vignette at https://jiezhou-2.github.io/lglasso/articles/Introduction_of_lglasso_package.html for details.