fitHeavyTail
0.2.0Mean and Covariance Matrix Estimation under Heavy Tails
Overview
Robust estimation methods for the mean vector, scatter matrix, and covariance matrix (if it exists) from data (possibly containing NAs) under multivariate heavy-tailed distributions such as angular Gaussian (via Tyler's method), Cauchy, and Student's t distributions. Additionally, a factor model structure can be specified for the covariance matrix. The latest revision also includes the multivariate skewed t distribution. The package is based on the papers: Sun, Babu, and Palomar (2014); Sun, Babu, and Palomar (2015); Liu and Rubin (1995); Zhou, Liu, Kumar, and Palomar (2019); Pascal, Ollila, and Palomar (2021).
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- OK2026-03-1014 OK · 0 NOTE · 0 WARNING · 0 ERROR · 0 FAILURE
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4 development-tooling and community-health practices detected across 4 families in the upstream repository
Checks run against github.com/convexfi/fitheavytail on 2026-07-19.
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People & History
5 releases. R releases are shown for context.
- RR 4.6.0 released · 2026-04-24
- RR 4.5.0 released · 2025-04-11
- RR 4.4.0 released · 2024-04-24
- 0.2.0Latest
- RR 4.3.0 released · 2023-04-21
- 0.1.42022-05-11 · diff ↗
- unarchivedReturned to CRAN2022-05-11
- archivedRemoved from CRAN2022-05-07requires archived package 'ghyp'
- RR 4.2.0 released · 2022-04-22
- 0.1.32022-04-16 · diff ↗
- RR 4.1.0 released · 2021-05-18
- RR 4.0.0 released · 2020-04-24
- 0.1.22020-01-07 · diff ↗
- 0.1.12019-11-22
- RR 3.6.0 released · 2019-04-26
Package metadata
- First published
- 2019-11-22
- Total releases
- 5 / 7 yrs
- License
- GPL-3 OSI
- Download size
- 709 KB
- Installed size
- not tracked yet
- With dependencies
- not tracked yet