fitHeavyTail: Mean and Covariance Matrix Estimation under Heavy Tails

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), and Zhou, Liu, Kumar, and Palomar (2019).

Version: 0.1.4
Imports: ICSNP, mvtnorm, ghyp, numDeriv, stats
Suggests: knitr, ggplot2, prettydoc, reshape2, rmarkdown, R.rsp, testthat
Published: 2022-05-11
Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut], Xiwen Wang [aut]
Maintainer: Daniel P. Palomar <daniel.p.palomar at gmail.com>
BugReports: https://github.com/dppalomar/fitHeavyTail/issues
License: GPL-3
URL: https://CRAN.R-project.org/package=fitHeavyTail, https://github.com/dppalomar/fitHeavyTail, https://www.danielppalomar.com, https://doi.org/10.1109/TSP.2014.2348944, https://doi.org/10.1109/TSP.2015.2417513
NeedsCompilation: no
Citation: fitHeavyTail citation info
Materials: README NEWS
CRAN checks: fitHeavyTail results

Documentation:

Reference manual: fitHeavyTail.pdf
Vignettes: Mean Vector and Covariance Matrix Estimation under Heavy Tails

Downloads:

Package source: fitHeavyTail_0.1.4.tar.gz
Windows binaries: r-devel: fitHeavyTail_0.1.4.zip, r-release: fitHeavyTail_0.1.4.zip, r-oldrel: fitHeavyTail_0.1.4.zip
macOS binaries: r-release (arm64): fitHeavyTail_0.1.4.tgz, r-oldrel (arm64): fitHeavyTail_0.1.4.tgz, r-release (x86_64): not available, r-oldrel (x86_64): not available
Old sources: fitHeavyTail archive

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