A RetroSearch Logo

Home - News ( United States | United Kingdom | Italy | Germany ) - Football scores

Search Query:

Showing content from http://cran.rstudio.com/web/packages/SpatialTools/../Rcpp/../sglg/../Rcpp/../EMgaussian/index.html below:

CRAN: Package EMgaussian

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

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.

Version: 0.2.1 Imports: Rcpp, matrixcalc, Matrix, lavaan, glasso, glassoFast, caret LinkingTo: Rcpp, RcppArmadillo Suggests: testthat (≥ 3.0.0), psych, bootnet, qgraph, cglasso Published: 2024-03-04 DOI: 10.32614/CRAN.package.EMgaussian Author: Carl F. Falk [cre, aut] Maintainer: Carl F. Falk <carl.falk at mcgill.ca> License: GPL (≥ 3) NeedsCompilation: yes CRAN checks: EMgaussian results Documentation: Downloads: Linking:

Please use the canonical form https://CRAN.R-project.org/package=EMgaussian to link to this page.


RetroSearch is an open source project built by @garambo | Open a GitHub Issue

Search and Browse the WWW like it's 1997 | Search results from DuckDuckGo

HTML: 3.2 | Encoding: UTF-8 | Version: 0.7.4