Package: lglasso 0.1.0
lglasso: Longitudinal Graphical Lasso
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>.
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lglasso_0.1.0.tar.gz
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lglasso_0.1.0.tgz(r-4.4-any)lglasso_0.1.0.tgz(r-4.3-any)
lglasso_0.1.0.tar.gz(r-4.5-noble)lglasso_0.1.0.tar.gz(r-4.4-noble)
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lglasso.pdf |lglasso.html✨
lglasso/json (API)
| # Install 'lglasso' in R: |
| install.packages('lglasso', repos = c('https://jiezhou-2.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/jiezhou-2/lglasso/issues
Last updated 9 months agofrom:321ca35d14. Checks:OK: 1 WARNING: 6. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Nov 19 2024 |
| R-4.5-win | WARNING | Nov 19 2024 |
| R-4.5-linux | WARNING | Nov 19 2024 |
| R-4.4-win | WARNING | Nov 19 2024 |
| R-4.4-mac | WARNING | Nov 19 2024 |
| R-4.3-win | WARNING | Nov 19 2024 |
| R-4.3-mac | WARNING | Nov 19 2024 |
Dependencies:glasso
