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DIRMR (version 0.5.0)

Distributed Imputation for Random Effects Models with Missing Responses

Description

By adding over-relaxation factor to PXEM (Parameter Expanded Expectation Maximization) method, the MOPXEM (Monotonically Overrelaxed Parameter Expanded Expectation Maximization) method is obtained. Compare it with the existing EM (Expectation-Maximization)-like methods. Then, distribute and process five methods and compare them, achieving good performance in convergence speed and result quality.The philosophy of the package is described in Guo G. (2022) .

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Version

Install

install.packages('DIRMR')

Monthly Downloads

151

Version

0.5.0

License

GPL-2

Maintainer

Guangbao Guo

Last Published

November 26th, 2024

Functions in DIRMR (0.5.0)

DECME

DECME
DPXEM

DPXEM
MOPXEM

MOPXEM
EM

EM
ECME

ECME
PXEM

PXEM
DMCEM

DMCEM
MCEM

MCEM
DMOPXEM

DMOPXEM
data

Hox pupil popularity data
DEM

DEM
df1

Hox pupil popularity data with missing popularity scores