saekernel

Small Area Estimation Non-Parametric Based Nadaraya-Watson Kernel

CRAN Package

Propose an area-level, non-parametric regression estimator based on Nadaraya-Watson kernel on small area mean. Adopt a two-stage estimation approach proposed by Prasad and Rao (1990). Mean Squared Error (MSE) estimators are not readily available, so resampling method that called bootstrap is applied. This package are based on the model proposed in Two stage non-parametric approach for small area estimation by Pushpal Mukhopadhyay and Tapabrata Maiti(2004) http://www.asasrms.org/Proceedings/y2004/files/Jsm2004-000737.pdf.

  • Version0.1.1
  • R versionunknown
  • LicenseGPL-3
  • Needs compilation?No
  • Last release06/04/2021

Documentation


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Insights

Last 30 days

This package has been downloaded 155 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 2 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
11 downloadsMar 4, 2025
2 downloadsMar 5, 2025
4 downloadsMar 6, 2025
5 downloadsMar 7, 2025
7 downloadsMar 8, 2025
0 downloadsMar 9, 2025
4 downloadsMar 10, 2025
6 downloadsMar 11, 2025
4 downloadsMar 12, 2025
11 downloadsMar 13, 2025
2 downloadsMar 14, 2025
3 downloadsMar 15, 2025
2 downloadsMar 16, 2025
0 downloadsMar 17, 2025
12 downloadsMar 18, 2025
5 downloadsMar 19, 2025
9 downloadsMar 20, 2025
6 downloadsMar 21, 2025
4 downloadsMar 22, 2025
2 downloadsMar 23, 2025
12 downloadsMar 24, 2025
2 downloadsMar 25, 2025
6 downloadsMar 26, 2025
6 downloadsMar 27, 2025
8 downloadsMar 28, 2025
6 downloadsMar 29, 2025
5 downloadsMar 30, 2025
1 downloadsMar 31, 2025
8 downloadsApr 1, 2025
2 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
0
12

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 2,202 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 Sep 11, 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.

Data provided by CRAN


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Dependencies

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