Functions for Graphical Model with Latent Variables
Yanxin Jin, Samantha Yang, Kean Ming Tan
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).

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>.

Latent position and cluster models for statistical networks
Mark S. Handcock <handcock@stat.washington.edu>,
based on original code from
Jeremy Tantrum <tantrum@stat.washington.edu>,
Susan Shortreed <susanms@stat.washington.edu>, and
Peter Hoff <hoff@stat.washington.edu>.
Latent position and cluster models for statistical networks.
These models are fit within the "ergm" framework of the "statnet" package.

network, locfit, mvtnorm, mclust, shapes, KernSmooth

Mark S. Handcock <handcock@stat.washington.edu>,
Jeremy Tantrum <Jeremy.Tantrum@microsoft.com>,
Susan Shortreed <susanms@stat.washington.edu>, and
Peter Hoff <hoff@stat.washington.edu>.
Latent position and cluster models for statistical networks.

Latent position and cluster models for statistical networks.
This package is part of the "statnet" suite of packages.$

Latent position and cluster models for statistical networks.
This package is part of the "statnet" suite of packages.

Pavel N. Krivitsky <pavel@stat.washington.edu>,
Mark S. Handcock <handcock@stat.washington.edu>,
based on original code from "latentnetHRT",
and code from other packages of `statnet' project
A package to fit and simulate latent position and cluster models for statistical networks.
GPL-3, with Section 7 attribution requirements (see LICENSE)

Latent Position and Cluster Models for Statistical Networks
c(
person("Pavel N.", "Krivitsky", role=c("aut","cre"), email="pavel@statnet.org", comment=c(ORCID="0000-0002-9101-3362")),
person("Mark S.", "Handcock", role=c("aut"), email="handcock@stat.ucla.edu"),
person("Susan M.", "Shortreed", role=c("ctb")),
person("Jeremy", "Tantrum", role=c("ctb")),
person("Peter D.", "Hoff", role=c("ctb")),
person("Li","Wang",role=c("ctb"),email="lxwang@gmail.com"),
person("Kirk","Li",role=c("ctb"),email="kirkli@uw.edu"),
person("Jake","Fisher",role=c("ctb"),email="jcf26@duke.edu"),
person("Jordan T.", "Bates", role=c("ctb"),email="jtbates@gmail.com")
)
Fit and simulate latent position and cluster models for statistical networks.
sna, mvtnorm, abind, coda (>= 0.17.1), tools, MASS,
statnet.common (>= 4.1.0)
KernSmooth, snowFT, rgl, heplots, rlecuyer, ergm.userterms
Pavel N. Krivitsky [aut, cre] (<https://orcid.org/0000-0002-9101-3362>),
Mark S. Handcock [aut],
Susan M. Shortreed [ctb],
Jeremy Tantrum [ctb],
Peter D. Hoff [ctb],
Li Wang [ctb],
Kirk Li [ctb],
Jake Fisher [ctb],
Jordan T. Bates [ctb]