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lglasso
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", "0.1.0")
Attach the package and use:
library("lglasso")
Maintained by
Jie Zhou
[Scholar Profile | Author Map]
[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: Longitudinal Graphical Lasso. R package version 0.1.0, https://cran.r-project.org/web/packages/lglasso. Accessed 21 Nov. 2024.
Previous versions and publish date:
No previous versions
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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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