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em: Generic EM Algorithm

A generic function for running the Expectation-Maximization (EM) algorithm within a maximum likelihood framework, based on Dempster, Laird, and Rubin (1977) <doi:10.1111/j.2517-6161.1977.tb01600.x> is implemented. It can be applied after a model fitting using R's existing functions and packages.

Version: 1.0.0
Depends: R (≥ 3.0.0)
Imports: stats, utils, survival, plm, methods, mclust, dplyr, numDeriv, nnet, magrittr
LinkingTo: Rcpp, RcppArmadillo
Suggests: testthat (≥ 3.0.0), parallel, fitdistrplus, gnm
Published: 2023-01-11
DOI: 10.32614/CRAN.package.em
Author: Dongjie Wu ORCID iD [aut, cre, cph]
Maintainer: Dongjie Wu <dwu.jacob at gmail.com>
BugReports: https://github.com/wudongjie/em/issues
License: GPL (≥ 3)
URL: https://github.com/wudongjie/em
NeedsCompilation: yes
SystemRequirements: C++11
CRAN checks: em results

Documentation:

Reference manual: em.pdf
Vignettes: em: A Generic Function of the EM Algorithm for Finite Mixture Models in R

Downloads:

Package source: em_1.0.0.tar.gz
Windows binaries: r-devel: em_1.0.0.zip, r-release: em_1.0.0.zip, r-oldrel: em_1.0.0.zip
macOS binaries: r-release (arm64): em_1.0.0.tgz, r-oldrel (arm64): em_1.0.0.tgz, r-release (x86_64): em_1.0.0.tgz, r-oldrel (x86_64): em_1.0.0.tgz

Linking:

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

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.