pan
Multiple Imputation for Multivariate Panel or Clustered Data
It provides functions and examples for maximum likelihood estimation for generalized linear mixed models and Gibbs sampler for multivariate linear mixed models with incomplete data, as described in Schafer JL (1997) "Imputation of missing covariates under a multivariate linear mixed model". Technical report 97-04, Dept. of Statistics, The Pennsylvania State University.
- Version1.9
- R versionunknown
- LicenseGPL-3
- Needs compilation?Yes
- pan citation info
- Last release12/07/2023
Documentation
Team
Joseph L. Schafer
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Last 30 days
This package has been downloaded 49,921 times in the last 30 days. The downloads are officially high enough to crash an underfunded departmental server. Quite an accomplishment! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 1,014 times.
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Last 365 days
This package has been downloaded 490,586 times in the last 365 days. That's a whole lot of downloads. Somewhere, a librarian is trying to figure out why more bandwidth is needed. The day with the most downloads was Feb 10, 2025 with 2,289 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
- Suggests2 packages
- Reverse Imports1 package
- Reverse Suggests1 package
- Reverse Enhances1 package