Package: latentgraph 1.1
Yanxin Jin
latentgraph: Graphical Models with Latent Variables
Three methods are provided to estimate graphical models with latent variables: (1) Jin, Y., Ning, Y., and Tan, K. M. (2020) (preprint available); (2) Chandrasekaran, V., Parrilo, P. A. & Willsky, A. S. (2012) <doi:10.1214/11-AOS949>; (3) Tan, K. M., Ning, Y., Witten, D. M. & Liu, H. (2016) <doi:10.1093/biomet/asw050>.
Authors:
latentgraph_1.1.tar.gz
latentgraph_1.1.tar.gz(r-4.5-noble)latentgraph_1.1.tar.gz(r-4.4-noble)
latentgraph_1.1.tgz(r-4.4-emscripten)latentgraph_1.1.tgz(r-4.3-emscripten)
latentgraph.pdf |latentgraph.html✨
latentgraph/json (API)
| # Install 'latentgraph' in R: |
| install.packages('latentgraph', repos = c('https://cran.r-universe.dev', 'https://cloud.r-project.org')) |
This package does not link to any Github/Gitlab/R-forge repository. No issue tracker or development information is available.
Last updated 4 years agofrom:f7fe7ed9b6. Checks:OK: 1 NOTE: 1. Indexed: yes.
| Target | Result | Date |
|---|---|---|
| Doc / Vignettes | OK | Oct 29 2024 |
| R-4.5-linux-x86_64 | NOTE | Oct 29 2024 |
Exports:corlatentgenerate_Gaussianlvglassosemilatent
Dependencies:codetoolsforeachglmnetiteratorslatticeMASSMatrixpracmaRcppRcppArmadilloRcppEigenshapesurvival
Readme and manuals
Help Manual
| Help page | Topics |
|---|---|
| Graphical Models with Latent Variables and Correlated Replicates | corlatent |
| Generate a Gaussian distributed data set | generate_Gaussian |
| Estimate Gaussian Graphical Models with Latent Variables | lvglasso |
| Estimate Graphical Models with Latent Variables and Replicates | semilatent |