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Offers Bayesian semiparametric density estimation and tail-index estimation for heavy tailed data, by using a parametric, tail-respecting transformation of the data to the unit interval and then modeling the transformed data with a purely nonparametric logistic Gaussian process density prior. Based on Tokdar et al. (2022) <doi:10.1080/01621459.2022.2104727>.
Package details |
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Author | Surya Tokdar <surya.tokdar@duke.edu> |
Maintainer | Surya Tokdar <surya.tokdar@duke.edu> |
License | GPL-2 |
Version | 1.0-1 |
Package repository | View on CRAN |
Installation |
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