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MKendall

1.5-4

Matrix Kendall's Tau and Matrix Elliptical Factor Model

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2.2Kdownloads / year
test coverage
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Overview

About
Maintained by Yalin WangFirst published 2024-03-111 releasesCRAN page ↗

Large-scale matrix-variate data have been widely observed nowadays in various research areas such as finance, signal processing and medical imaging. Modelling matrix-valued data by matrix-elliptical family not only provides a flexible way to handle heavy-tail property and tail dependencies, but also maintains the intrinsic row and column structure of random matrices. We proposed a new tool named matrix Kendall's tau which is efficient for analyzing random elliptical matrices. By applying this new type of Kendell’s tau to the matrix elliptical factor model, we propose a Matrix-type Robust Two-Step (MRTS) method to estimate the loading and factor spaces. See the details in He at al. (2022) <arXiv:2207.09633>. In this package, we provide the algorithms for calculating sample matrix Kendall's tau, the MRTS method and the Matrix Kendall's tau Eigenvalue-Ratio (MKER) method which is used for determining the number of factors.

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2NOTE11OK
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  • NOTE r-devel-linux-x86_64-debian-clang
  • NOTE r-devel-linux-x86_64-debian-gcc
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  • NOTE2026-03-10
    12 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE

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Code

230Lines of code
3Exported functions

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Functions

7 3 exported

Complexity

1.7 avg / 3 max

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7 nodes / 4 edges

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People & History

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Release timeline

1 releases. Pick two to compare their code metrics; R releases are shown for context.

  • R
    R 4.6.0 released · 2026-04-24
  • 1.5-4Latest
    2026-03-10 · current release

Package metadata

First published
2024-03-11
Total releases
1 / 2 yrs
License
GPL-2 OSI
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not tracked yet
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