Package: EMgaussian
Encoding: UTF-8
Type: Package
Title: Expectation-Maximization Algorithm for Multivariate Normal
        (Gaussian) with Missing Data
Version: 0.2.2
Date: 2025-07-24
Authors@R: 
  c(person(given = c("Carl","F."),
           family = "Falk",
           role = c("cre","aut"),
           email = "carl.falk@mcgill.ca"))
Maintainer: Carl F. Falk <carl.falk@mcgill.ca>
Description: 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.
License: GPL (>= 3)
Imports: Rcpp, matrixcalc, Matrix, lavaan, glasso, glassoFast, caret
Suggests: testthat (>= 3.0.0), psych, bootnet, qgraph, cglasso
LinkingTo: Rcpp, RcppArmadillo
Config/testthat/edition: 3
RoxygenNote: 7.3.2
NeedsCompilation: yes
Packaged: 2026-10-24 10:54:40 UTC; root
Author: Carl F. Falk [cre, aut]
Repository: https://cran.r-universe.dev
Date/Publication: 2025-07-24 14:40:14 UTC
RemoteUrl: https://github.com/cran/EMgaussian
RemoteRef: HEAD
RemoteSha: 2932b86781410728749eb09ec4d804cc5c99e8e1