gcKrig

Analysis of Geostatistical Count Data using Gaussian Copulas

CRAN Package

Provides a variety of functions to analyze and model geostatistical count data with Gaussian copulas, including 1) data simulation and visualization; 2) correlation structure assessment (here also known as the Normal To Anything); 3) calculate multivariate normal rectangle probabilities; 4) likelihood inference and parallel prediction at predictive locations. Description of the method is available from: Han and DeOliveira (2018) doi:10.18637/jss.v087.i13.


Team


Insights

Last 30 days

This package has been downloaded 251 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 6 times.

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0 downloadsMar 2, 2025
3 downloadsMar 3, 2025
12 downloadsMar 4, 2025
28 downloadsMar 5, 2025
4 downloadsMar 6, 2025
4 downloadsMar 7, 2025
5 downloadsMar 8, 2025
2 downloadsMar 9, 2025
3 downloadsMar 10, 2025
10 downloadsMar 11, 2025
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15 downloadsMar 13, 2025
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28 downloadsMar 15, 2025
1 downloadsMar 16, 2025
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15 downloadsMar 20, 2025
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3 downloadsMar 22, 2025
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3 downloadsMar 25, 2025
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4 downloadsMar 27, 2025
29 downloadsMar 28, 2025
7 downloadsMar 29, 2025
3 downloadsMar 30, 2025
3 downloadsMar 31, 2025
6 downloadsApr 1, 2025
0 downloadsApr 2, 2025
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0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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29

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 3,563 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 Aug 22, 2024 with 48 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

  • Imports1 package
  • Suggests11 packages
  • Linking To2 packages