Package: fitHeavyTail Title: Mean and Covariance Matrix Estimation under Heavy Tails Version: 0.2.0.9000 Date: 2023-5-1 Description: 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). Authors@R: c( person(c("Daniel", "P."), "Palomar", role = c("cre", "aut"), email = "daniel.p.palomar@gmail.com"), person("Rui", "Zhou", role = "aut", email = "rzhouae@connect.ust.hk"), person("Xiwen", "Wang", role = "aut", email = "xwangew@connect.ust.hk"), person("Frédéric", "Pascal", role = "ctb", email = "frederic.pascal@centralesupelec.fr"), person("Esa", "Ollila", role = "ctb", email = "esa.ollila@aalto.fi") ) Maintainer: Daniel P. Palomar URL: https://CRAN.R-project.org/package=fitHeavyTail, https://github.com/convexfi/fitHeavyTail, https://www.danielppalomar.com, https://doi.org/10.1 109/TSP.2014.2348944, https://doi.org/10.1109/TSP.2015.2417513, https://doi.org/10.23919/EUSIPCO54536.2021.9616162 BugReports: https://github.com/convexfi/fitHeavyTail/issues License: GPL-3 Encoding: UTF-8 RoxygenNote: 7.2.1 Depends: Imports: ICSNP, mvtnorm, ghyp, numDeriv, stats Suggests: ggplot2, reshape2, knitr, rmarkdown, R.rsp, testthat VignetteBuilder: knitr, rmarkdown, R.rsp Config/pak/sysreqs: make Repository: https://convexfi.r-universe.dev Date/Publication: 2023-05-24 08:06:22 UTC RemoteUrl: https://github.com/convexfi/fitheavytail RemoteRef: HEAD RemoteSha: f0d576e60d494ff380145b5f8e30538321ce40c8 NeedsCompilation: no Packaged: 2026-06-13 06:18:36 UTC; root Author: Daniel P. Palomar [cre, aut], Rui Zhou [aut], Xiwen Wang [aut], Frédéric Pascal [ctb], Esa Ollila [ctb]