Data matrix for the subject i in which the first column is subject (cluster) id, the second column stands for
the time points () of observation. Columns 2 to (p+2) is the observations for p variables respectively.

idata

itau

Type of correlation function, which typically take either 0, 1 or 2.

type

Quasi covariance matrix for subject i

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>.

Jie Zhou

iss: Quasi covariance matrix for subject i

Description

Usage

Arguments

Value