SumcaVer1
Mean Square Prediction Error Estimation in Small Area Estimation
Estimation of mean squared prediction error of a small area predictor is provided. In particular, the recent method of Simple, Unified, Monte-Carlo Assisted approach for the mean squared prediction error estimation of small area predictor is provided. We also provide other existing methods of mean squared prediction error estimation such as jackknife method for the mixed logistic model.
- Version0.1.0
- R versionunknown
- LicenseMIT
- Needs compilation?No
- Last release07/21/2024
Team
Mahmoud Torabi
MaintainerShow author detailsJiming Jiang
Show author detailsRolesContributor
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Last 30 days
This package has been downloaded 127 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 6 times.
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Last 365 days
This package has been downloaded 1,160 times in the last 365 days. Consider this 'mid-tier influencer' status—if it were a TikTok, it would get a nod from nieces and nephews. The day with the most downloads was Jul 29, 2024 with 25 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
- Imports2 packages