DIRMR
Distributed Imputation for Random Effects Models with Missing Responses
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.
- Version0.5.0
- R versionunknown
- LicenseGPL-2
- Needs compilation?No
- Last release11/26/2024
Team
Guangbao Guo
MaintainerShow author detailsYaping Li
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Insights
Last 30 days
This package has been downloaded 158 times in the last 30 days. More than a random curiosity, but not quite a blockbuster. Still, it's gaining traction! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 8 times.
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Last 365 days
This package has been downloaded 761 times in the last 365 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The day with the most downloads was Nov 29, 2024 with 37 downloads.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
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Dependencies
- Imports3 packages