saeczi

Small Area Estimation for Continuous Zero Inflated Data

CRAN Package

Provides functionality to fit a zero-inflated estimator for small area estimation. This estimator is a combines a linear mixed effects regression model and a logistic mixed effects regression model via a two-stage modeling approach. The estimator's mean squared error is estimated via a parametric bootstrap method. Chandra and others (2012, doi:10.1080/03610918.2011.598991) introduce and describe this estimator and mean squared error estimator. White and others (2024+, doi:10.48550/arXiv.2402.03263) describe the applicability of this estimator to estimation of forest attributes and further assess the estimator's properties.


Documentation


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Insights

Last 30 days

This package has been downloaded 421 times in the last 30 days. Enough downloads to make a small wave in the niche community. The curiosity is spreading! The following heatmap shows the distribution of downloads per day. Yesterday, it was downloaded 5 times.

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0 downloadsMar 2, 2025
0 downloadsMar 3, 2025
42 downloadsMar 4, 2025
10 downloadsMar 5, 2025
4 downloadsMar 6, 2025
2 downloadsMar 7, 2025
39 downloadsMar 8, 2025
1 downloadsMar 9, 2025
4 downloadsMar 10, 2025
6 downloadsMar 11, 2025
16 downloadsMar 12, 2025
41 downloadsMar 13, 2025
3 downloadsMar 14, 2025
11 downloadsMar 15, 2025
2 downloadsMar 16, 2025
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23 downloadsMar 18, 2025
6 downloadsMar 19, 2025
7 downloadsMar 20, 2025
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3 downloadsMar 22, 2025
1 downloadsMar 23, 2025
50 downloadsMar 24, 2025
9 downloadsMar 25, 2025
3 downloadsMar 26, 2025
2 downloadsMar 27, 2025
51 downloadsMar 28, 2025
0 downloadsMar 29, 2025
5 downloadsMar 30, 2025
1 downloadsMar 31, 2025
46 downloadsApr 1, 2025
5 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
0
51

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 5,512 times in the last 365 days. Impressive! The kind of number that makes colleagues ask, 'How did you do it?' The day with the most downloads was Feb 20, 2025 with 63 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

  • Imports8 packages
  • Suggests1 package
  • Linking To2 packages