saeRobust
Robust Small Area Estimation
Methods to fit robust alternatives to commonly used models used in Small Area Estimation. The methods here used are based on best linear unbiased predictions and linear mixed models. At this time available models include area level models incorporating spatial and temporal correlation in the random effects.
- Version0.5.0
- R version≥ 3.3.0 methods,
- LicenseMIT
- Needs compilation?Yes
- Last release03/15/2024
Documentation
Team
Sebastian Warnholz
Insights
Last 30 days
This package has been downloaded 322 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 9 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 4,902 times in the last 365 days. Now we’re talking! This work is officially 'heard of in academic circles', just like those wild research papers on synthetic bananas. The day with the most downloads was Jul 08, 2024 with 65 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
- Depends1 package
- Imports9 packages
- Suggests5 packages
- Linking To2 packages
- Reverse Imports2 packages