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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 WuORCID 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[issues need fixing before 2025-12-18]

Documentation:

Reference manual:em.html ,em.pdf
Vignettes:em: A Generic Function of the EM Algorithm for Finite Mixture Models in R (source,R code)

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 formhttps://CRAN.R-project.org/package=emto link to this page.


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