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

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

## Documentation for package ‘DOEM’ version 0.0.0.1

- DESCRIPTION file.

## Help Pages

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.
DMOEM | The DMOEM is an overrelaxation algorithm in distributed manner, which is used to solve the parameter estimation of Poisson mixture model.
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.
PeMSD3 | PeMSD3
PeMSD7 | PeMSD7
PeMSD7_weekend | PeMSD7 on weekend
PeMSD7_workday | PeMSD7 on workday