NSAE

Nonstationary Small Area Estimation

CRAN Package

Executes nonstationary Fay-Herriot model and nonstationary generalized linear mixed model for small area estimation.The empirical best linear unbiased predictor (EBLUP) under stationary and nonstationary Fay-Herriot models and empirical best predictor (EBP) under nonstationary generalized linear mixed model along with the mean squared error estimation are included. EBLUP for prediction of non-sample area is also included under both stationary and nonstationary Fay-Herriot models. This extension to the Fay-Herriot model that accounts for the presence of spatial nonstationarity was developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2015) doi:10.1093/jssam/smu026 and nonstationary generalized linear mixed model was developed by Hukum Chandra, Nicola Salvati and Ray Chambers (2017) doi:10.1016/j.spasta.2017.01.004. This package is dedicated to the memory of Dr. Hukum Chandra who passed away while the package creation was in progress.

  • Version0.4.0
  • R version≥ 3.5.0
  • LicenseGPL-3
  • Needs compilation?No
  • Last release05/27/2022

Team


Insights

Last 30 days

This package has been downloaded 175 times in the last 30 days. Now we're getting somewhere! Enough downloads to populate a lively group chat. The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 10 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
10 downloadsMar 4, 2025
13 downloadsMar 5, 2025
4 downloadsMar 6, 2025
2 downloadsMar 7, 2025
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2 downloadsMar 9, 2025
3 downloadsMar 10, 2025
10 downloadsMar 11, 2025
11 downloadsMar 12, 2025
5 downloadsMar 13, 2025
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3 downloadsMar 16, 2025
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10 downloadsMar 20, 2025
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5 downloadsMar 22, 2025
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10 downloadsMar 24, 2025
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3 downloadsMar 27, 2025
11 downloadsMar 28, 2025
5 downloadsMar 29, 2025
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1 downloadsMar 31, 2025
7 downloadsApr 1, 2025
10 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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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 2,351 times in the last 365 days. That's enough downloads to impress a room full of undergrads. A commendable achievement indeed. The day with the most downloads was Sep 11, 2024 with 35 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

  • Imports9 packages