CRAN/E | EMgaussian

EMgaussian

Expectation-Maximization Algorithm for Multivariate Normal (Gaussian) with Missing Data

Installation

About

Initially designed to distribute code for estimating the Gaussian graphical model with Lasso regularization, also known as the graphical lasso (glasso), using an Expectation-Maximization (EM) algorithm based on work by Städler and Bühlmann (2012) doi:10.1007/s11222-010-9219-7. As a byproduct, code for estimating means and covariances (or the precision matrix) under a multivariate normal (Gaussian) distribution is also available.

Key Metrics

Version 0.2.1
Published 2024-03-04 54 days ago
Needs compilation? yes
License GPL (≥ 3)
CRAN checks EMgaussian results

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Maintainer

Maintainer

Carl F. Falk

carl.falk@mcgill.ca

Authors

Carl F. Falk

cre / aut

Material

Reference manual
Package source

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

Windows

r-develnot available

x86_64

r-releasenot available

x86_64

r-oldrelnot available

x86_64

Imports

Rcpp
matrixcalc
Matrix
lavaan
glasso
glassoFast
caret

Suggests

testthat ≥ 3.0.0
psych
bootnet
qgraph
cglasso

LinkingTo

Rcpp
RcppArmadillo