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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 |
| 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:
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.
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