StableEstim

Estimate the Four Parameters of Stable Laws using Different Methods

CRAN Package

Estimate the four parameters of stable laws using maximum likelihood method, generalised method of moments with finite and continuum number of points, iterative Koutrouvelis regression and Kogon-McCulloch method. The asymptotic properties of the estimators (covariance matrix, confidence intervals) are also provided.


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Insights

Last 30 days

This package has been downloaded 647 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 67 times.

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0 downloadsMar 2, 2025
9 downloadsMar 3, 2025
59 downloadsMar 4, 2025
13 downloadsMar 5, 2025
7 downloadsMar 6, 2025
7 downloadsMar 7, 2025
56 downloadsMar 8, 2025
1 downloadsMar 9, 2025
5 downloadsMar 10, 2025
10 downloadsMar 11, 2025
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58 downloadsMar 13, 2025
15 downloadsMar 14, 2025
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1 downloadsMar 16, 2025
30 downloadsMar 17, 2025
39 downloadsMar 18, 2025
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22 downloadsMar 21, 2025
18 downloadsMar 22, 2025
5 downloadsMar 23, 2025
66 downloadsMar 24, 2025
10 downloadsMar 25, 2025
5 downloadsMar 26, 2025
5 downloadsMar 27, 2025
70 downloadsMar 28, 2025
6 downloadsMar 29, 2025
9 downloadsMar 30, 2025
3 downloadsMar 31, 2025
67 downloadsApr 1, 2025
0 downloadsApr 2, 2025
0 downloadsApr 3, 2025
0 downloadsApr 4, 2025
0 downloadsApr 5, 2025
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70

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 9,040 times in the last 365 days. A solid achievement! Enough downloads to get noticed at department meetings. The day with the most downloads was Feb 20, 2025 with 98 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
  • Reverse Imports2 packages