rsae

Robust Small Area Estimation

CRAN Package

Empirical best linear unbiased prediction (EBLUP) and robust prediction of the area-level means under the basic unit-level model. The model can be fitted by maximum likelihood or a (robust) M-estimator. Mean square prediction error is computed by a parametric bootstrap.


Documentation


Team


Insights

Last 30 days

This package has been downloaded 648 times in the last 30 days. This could be a paper that people cite without reading. Reaching the medium popularity echelon is no small feat! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 25 times.

Sun
Mon
Tue
Wed
Thu
Fri
Sat
0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
24 downloadsMar 4, 2025
38 downloadsMar 5, 2025
39 downloadsMar 6, 2025
23 downloadsMar 7, 2025
19 downloadsMar 8, 2025
15 downloadsMar 9, 2025
14 downloadsMar 10, 2025
24 downloadsMar 11, 2025
28 downloadsMar 12, 2025
35 downloadsMar 13, 2025
12 downloadsMar 14, 2025
26 downloadsMar 15, 2025
14 downloadsMar 16, 2025
15 downloadsMar 17, 2025
32 downloadsMar 18, 2025
27 downloadsMar 19, 2025
16 downloadsMar 20, 2025
24 downloadsMar 21, 2025
11 downloadsMar 22, 2025
11 downloadsMar 23, 2025
34 downloadsMar 24, 2025
13 downloadsMar 25, 2025
16 downloadsMar 26, 2025
17 downloadsMar 27, 2025
44 downloadsMar 28, 2025
13 downloadsMar 29, 2025
8 downloadsMar 30, 2025
10 downloadsMar 31, 2025
21 downloadsApr 1, 2025
25 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
8
44

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 9,417 times in the last 365 days. That's a lot of interest! Someone might even write a blog post about it. The day with the most downloads was Nov 05, 2024 with 91 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.

Data provided by CRAN


Binaries


Dependencies

  • Suggests3 packages
  • Reverse Suggests2 packages