CRAN/E | fitHeavyTail

fitHeavyTail

Mean and Covariance Matrix Estimation under Heavy Tails

Installation

About

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).

Citation fitHeavyTail citation info
CRAN.R-project.org/package=fitHeavyTail
github.com/convexfi/fitHeavyTail
www.danielppalomar.com
doi.org/10.1109/TSP.2014.2348944
doi.org/10.1109/TSP.2015.2417513
doi.org/10.23919/EUSIPCO54536.2021.9616162
Bug report File report

Key Metrics

Version 0.2.0
Published 2023-05-01 361 days ago
Needs compilation? no
License GPL-3
CRAN checks fitHeavyTail results

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Maintainer

Maintainer

Daniel P. Palomar

daniel.p.palomar@gmail.com

Authors

Daniel P. Palomar

cre / aut

Rui Zhou

aut

Xiwen Wang

aut

Frédéric Pascal

ctb

Esa Ollila

ctb

Material

README
NEWS
Reference manual
Package source

Vignettes

Mean Vector and Covariance Matrix Estimation under Heavy Tails

macOS

r-release

arm64

r-oldrel

arm64

r-release

x86_64

r-oldrel

x86_64

Windows

r-devel

x86_64

r-release

x86_64

r-oldrel

x86_64

Old Sources

fitHeavyTail archive

Imports

ICSNP
mvtnorm
ghyp
numDeriv
stats

Suggests

ggplot2
reshape2
knitr
rmarkdown
R.rsp
testthat

Reverse Imports

highOrderPortfolios