latentgraph: Functions for Graphical Model with Latent Variables

Three methods are provided to estimate graphical model with latent variables: Chandrasekaran, V., Parrilo, P. A. & Willsky, A. S. (2010) <arXiv:1008.1290>, Tan, K. M., Ning, Y., Witten, D. M. & Liu, H. (2016) <doi:10.1093/biomet/asw050> and Yanxin Jin, Yang Ning, and Kean Ming Tan (2020) (submitted).

Version: 1.0
Imports: Rcpp, pracma, glmnet, MASS, stats
LinkingTo: Rcpp, RcppArmadillo
Published: 2020-12-02
Author: Yanxin Jin, Samantha Yang, Kean Ming Tan
Maintainer: Yanxin Jin <yanxinj at umich.edu>
License: GPL-3
NeedsCompilation: yes
CRAN checks: latentgraph results

Downloads:

Reference manual: latentgraph.pdf
Package source: latentgraph_1.0.tar.gz
Windows binaries: r-devel: not available, r-release: not available, r-oldrel: latentgraph_1.0.zip
macOS binaries: r-release: latentgraph_1.0.tgz, r-oldrel: latentgraph_1.0.tgz

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