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DIRMR  

Distributed Imputation for Random Effects Models with Missing Responses
View on CRAN: Click here


Download and install DIRMR package within the R console
Install from CRAN:
install.packages("DIRMR")

Install from Github:
library("remotes")
install_github("cran/DIRMR")

Install by package version:
library("remotes")
install_version("DIRMR", "0.5.0")



Attach the package and use:
library("DIRMR")
Maintained by
Guangbao Guo
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2024-11-26
Latest Update: 2024-11-26
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) <doi:10.1007/s00180-022-01270-z>.
How to cite:
Guangbao Guo (2024). DIRMR: Distributed Imputation for Random Effects Models with Missing Responses. R package version 0.5.0, https://cran.r-project.org/web/packages/DIRMR. Accessed 09 Mar. 2026.
Previous versions and publish date:
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Complete documentation for DIRMR
Functions, R codes and Examples using the DIRMR R package
Full DIRMR package functions and examples
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