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