DOEM (version 0.0.0.1)

The Distributed Online Expectation Maximization Algorithms to Solve Parameters of Poisson Mixture Models

Description

The distributed online expectation maximization algorithms are used to solve parameters of Poisson mixture models. The philosophy of the package is described in Guo, G. (2022) .

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Install

install.packages('DOEM')

Monthly Downloads

160

Version

0.0.0.1

License

MIT + file LICENSE

Maintainer

Qian Wang

Last Published

March 30th, 2022

Functions in DOEM (0.0.0.1)

PeMSD7_workday

PeMSD7 on workday

DM_OEM

The DM-OEM algorithm replaces M-step with stochastic step in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.

E_OEM

The E-OEM algorithm replaces E-step with stochastic step, which is used to solve the parameter estimation of Poisson mixture model.

M_OEM

The M-OEM algorithm replaces M-step with stochastic step, which is used to solve the parameter estimation of Poisson mixture model.

DE_OEM

The DE-OEM algorithm replaces E-step with stochastic step in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.

The DMOEM is an overrelaxation algorithm in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.

PeMSD7