Package: lglasso
Type: Package
Title: Longitudinal Graphical Lasso
Version: 0.1.0
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>.
License: GPL-3
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.1.2
URL: https://github.com/jiezhou-2/lglasso
Suggests: knitr, rmarkdown
Imports: stats, glasso
Depends: R (>= 2.10)
Authors@R: c(person("Jie", "Zhou", role = c("aut", "cre","cph"),
                     email = "chowstat@gmail.com"),
                     person("Jiang", "Gui",role=c("aut")),
                     person("Weston", "Viles",role=c("aut")),
                      person("Anne", "Hoen",role=c("aut")))
NeedsCompilation: no
Packaged: 2022-01-13 16:54:06 UTC; jie
Author: Jie Zhou [aut, cre, cph],
  Jiang Gui [aut],
  Weston Viles [aut],
  Anne Hoen [aut]
Maintainer: Jie Zhou <chowstat@gmail.com>
Repository: CRAN
Date/Publication: 2022-01-15 08:52:46 UTC
Built: R 4.6.0; ; 2026-04-26 21:08:14 UTC; unix
