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  [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:
Downloads:
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