MKendall
1.5-4Matrix Kendall's Tau and Matrix Elliptical Factor Model
Overview
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.
Install
Health
- NOTE r-devel-linux-x86_64-debian-clang
- NOTE r-devel-linux-x86_64-debian-gcc
- NOTE2026-03-1012 OK · 2 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
Downloads
Repository stars, issues, and contributor activity are not tracked yet.
Dependencies
Nothing depends on this yet.
Code
Code & tests
Open call graph →Line coverage
–
Expression
–
Tests / Examples
–
Functions
7 3 exported
Complexity
1.7 avg / 3 max
Call network
7 nodes / 4 edges
Test coverage has not been measured for this package yet; nodes fall back to a neutral fill.
Lowest coverage
Per-function coverage is not measured for this package yet.
People & History
1 releases. Pick two to compare their code metrics; R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- 1.5-4Latest2026-03-10 · current release
Package metadata
- First published
- 2024-03-11
- Total releases
- 1 / 2 yrs
- License
- GPL-2 OSI
- Download size
- not tracked yet
- Installed size
- not tracked yet
- With dependencies
- not tracked yet