Package: EMgaussian
Encoding: UTF-8
Type: Package
Title: Expectation-Maximization Algorithm for Multivariate Normal
        (Gaussian) with Missing Data
Version: 0.2.1
Date: 2024-02-15
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: 7.3.1
NeedsCompilation: yes
Packaged: 2024-03-01 15:07:00 UTC; CarlFalkMcGill
Author: Carl F. Falk [cre, aut]
Repository: CRAN
Date/Publication: 2024-03-04 10:50:08 UTC
Built: R 4.2.3; aarch64-apple-darwin20; 2024-03-04 12:13:36 UTC; unix
Archs: EMgaussian.so.dSYM
