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
Insights
Last 30 days
Last 365 days
The following line graph shows the downloads per day. You can hover over the graph to see the exact number of downloads per day.
Data provided by CRAN
Binaries
Dependencies
- Imports2 packages